283212 2 Joaquin Vanschoren 4235 Supervised Classification predictive_accuracy 1191 weka.LogitBoost_DecisionStump(3) 2043 weka.classifiers.meta.LogitBoost -- -P 100 -L -1.7976931348623157E308 -H 1.0 -Z 3.0 -O 1 -E 1 -S 1 -I 40 -W weka.classifiers.trees.DecisionStump P 100 1191 L -1.7976931348623157E308 1191 H 1.0 1191 Z 3.0 1191 O 1 1191 E 1 1191 S 1 1191 I 40 1191 W weka.classifiers.trees.DecisionStump 1191 weka weka_3.7.12 395 re1.wc https://www.openml.org/data/download/52507/re1.wc.arff -1 952224 description https://api.openml.org/data/download/952224/weka_generated_run8900226156049936141.xml -1 952227 model_readable https://api.openml.org/data/download/952227/WekaModel_weka.classifiers.meta.LogitBoost6042876689126858364.model -1 952226 model_serialized https://api.openml.org/data/download/952226/WekaSerialized_weka.classifiers.meta.LogitBoost7060078948547457022.model -1 952225 predictions https://api.openml.org/data/download/952225/weka_generated_predictions8962976651861378970.arff area_under_roc_curve 0.98254 [0.998064,0.949148,0.999263,0.99936,0.999918,0.999366,0.985981,0.999904,0.954517,0.999359,0.980831,0.960973,0.98155,0.990178,0.99653,0.957717,0.999767,0.948785,0.983115,0.968974,0.992375,0.977439,0.978786,0.887727,0.959386] average_cost 0 f_measure 0.862694 [0.936877,0.599455,0.934599,0.95988,0.979973,0.866279,0.899123,0.963145,0.607143,0.978604,0.889891,0.831889,0.75032,0.548523,0.796078,0.65662,0.911765,0.510345,0.933333,0.79299,0.962858,0.885246,0.753401,0.167247,0.9] kappa 0.850099 kb_relative_information_score 14062.91282 mean_absolute_error 0.012228 mean_prior_absolute_error 0.070994 number_of_instances 16570 [310,200,480,990,370,170,3300,200,190,870,3710,310,420,150,270,500,130,180,320,1370,1060,180,600,190,100] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.861434 [0.965753,0.658683,0.946581,0.953187,0.968338,0.856322,0.881959,0.94686,0.69863,0.959161,0.852035,0.898876,0.811634,0.747126,0.845833,0.710956,0.873239,0.672727,0.948387,0.79328,0.9597,0.870968,0.769097,0.247423,0.9] predictive_accuracy 0.868014 prior_entropy 3.812516 recall 0.868014 [0.909677,0.55,0.922917,0.966667,0.991892,0.876471,0.91697,0.98,0.536842,0.998851,0.931267,0.774194,0.697619,0.433333,0.751852,0.61,0.953846,0.411111,0.91875,0.792701,0.966038,0.9,0.738333,0.126316,0.9] relative_absolute_error 0.172244 root_mean_prior_squared_error 0.188293 root_mean_squared_error 0.092225 root_relative_squared_error 0.489795 scimark_benchmark 1309.737746 [811.2746802934033, 971.492313735342, 521.7404774616803, 1083.6875143231027, 3160.493745180262] total_cost 0 usercpu_time_millis 3141330 usercpu_time_millis_testing 10 usercpu_time_millis_training 3141320 area_under_roc_curve 0.978296 [0.975309,0.993902,1,1,1,1,0.99157,1,0.742378,1,0.963754,0.99591,0.924383,1,0.993902,1,1,0.978659,1,0.944193,1,1,0.998958,0.871951,1] area_under_roc_curve 0.983244 [1,1,1,1,1,0.993939,0.986557,1,0.993902,0.9954,0.990132,0.99591,0.991304,0.996951,1,0.950311,1,0.759146,1,0.995978,1,0.748476,0.992708,0.993902,0.5] area_under_roc_curve 0.982818 [1,0.996951,1,1,1,1,0.985874,1,0.987805,1,0.972973,0.732106,0.973765,0.993939,0.993902,0.97764,1,0.984756,1,0.989192,1,1,0.99375,0.95122,1] area_under_roc_curve 0.978877 [1,1,0.995652,0.999359,1,0.996951,0.989747,1,0.675305,1,0.981353,1,1,0.975758,0.993865,0.992547,1,0.990854,1,0.965226,1,0.748476,0.985417,0.690549,1] area_under_roc_curve 0.980812 [1,1,1,1,1,1,0.972659,1,0.884146,0.995754,0.97903,0.750511,1,1,1,0.963975,1,1,1,0.985923,1,1,0.99375,0.966463,1] area_under_roc_curve 0.983096 [0.996914,0.97561,1,0.999359,1,1,0.991114,1,0.92378,0.998022,0.98701,0.751534,0.99537,0.984756,1,0.959006,1,1,1,0.970865,0.994721,1,0.995833,0.693939,1] area_under_roc_curve 0.985585 [1,1,1,1,1,1,0.990658,1,1,1,0.987848,0.993865,0.983025,1,0.985685,0.998758,1,0.59697,0.998457,0.938675,1,1,1,0.884146,1] area_under_roc_curve 0.980296 [1,1,1,1,1,1,0.971975,1,1,0.996835,0.976151,0.745399,0.995031,0.972561,0.98364,1,1,1,1,0.971845,1,1,0.976042,0.993902,1] area_under_roc_curve 0.981023 [1,0.969512,1,1,1,1,0.987013,1,0.993902,1,0.970189,0.981595,0.99537,0.987805,0.996951,0.940373,1,0.987805,1,0.922574,0.996481,1,0.99375,0.996951,1] area_under_roc_curve 0.994917 [0.998457,0.984756,1,1,1,1,0.998633,1,1,1,0.994134,1,0.970679,0.975758,1,0.992547,1,0.987879,1,0.984492,1,1,0.98125,0.987805,1] area_under_roc_curve 0.991544 [1,0.978659,1,1,1,1,0.994076,1,1,1,0.993819,0.961145,0.990741,0.987805,1,0.932919,1,1,1,0.984414,1,1,0.969792,0.980183,1] area_under_roc_curve 0.978991 [1,1,1,1,1,1,0.990886,1,0.8,0.996461,0.966269,0.80787,1,1,0.996951,0.967702,1,0.996951,1,0.966817,1,0.996951,0.972917,0.917683,1] area_under_roc_curve 0.977188 [1,0.987805,1,1,1,1,0.987241,1,0.957576,0.995754,0.977373,0.985685,0.916667,1,1,0.963975,1,0.987805,0.99591,0.951598,0.998827,1,0.98125,0.73628,0.5] area_under_roc_curve 0.98067 [1,0.993902,1,1,1,1,0.989519,1,1,1,0.97863,0.99591,0.986111,1,1,0.935404,1,0.867378,0.822086,0.967105,1,1,0.95,0.945122,1] area_under_roc_curve 0.98202 [1,0.910061,1,1,1,1,0.97357,1,1,0.997231,0.983763,1,0.990062,0.996951,0.977505,0.880124,1,0.987805,1,0.980733,1,1,0.988542,0.781818,0.993939] area_under_roc_curve 0.981778 [1,1,1,1,1,1,0.985646,1,1,1,0.975068,0.95501,1,0.993939,0.997955,0.875776,1,0.993902,1,0.975564,1,1,1,0.746951,1] area_under_roc_curve 0.974269 [1,0.963415,0.998758,1,1,1,0.98519,1,0.993902,1,0.967735,0.99591,0.993827,1,0.99182,0.941615,1,1,1,0.974862,0.93871,0.748476,0.899479,0.981707,1] area_under_roc_curve 0.988966 [1,0.990854,0.998457,1,1,1,0.995443,1,0.786585,1,0.98282,1,1,0.996951,1,0.980124,1,1,1,0.992961,0.999413,1,0.995833,0.817073,1] area_under_roc_curve 0.987485 [1,1,1,1,1,1,0.996013,1,1,1,0.979468,0.98773,0.996914,0.993902,0.996951,0.893789,1,0.993902,1,0.996229,0.999413,1,0.988542,0.77439,1] area_under_roc_curve 0.983513 [1,1,1,1,1,1,0.994532,1,0.881098,1,0.971506,0.993865,1,1,1,1,1,1,1,0.947368,1,1,1,0.745427,1] area_under_roc_curve 0.975849 [1,0.987805,0.997516,1,1,1,0.980406,1,0.993902,1,0.98062,0.993865,0.992284,0.978659,1,0.792547,1,0.856707,0.826176,0.986425,0.995894,1,0.927083,1,1] area_under_roc_curve 0.985001 [1,0.911585,1,1,1,1,0.995215,1,0.990854,1,0.990991,1,1,0.993939,1,0.941615,1,0.996951,1,0.984962,0.997067,1,0.871875,0.512121,1] area_under_roc_curve 0.979482 [1,0.996951,1,1,1,1,0.979494,1,1,1,0.985334,1,0.993827,0.990854,1,0.975155,1,0.797256,1,0.990602,0.932258,1,0.920833,0.871951,1] area_under_roc_curve 0.973381 [1,0.653963,1,1,1,1,0.986329,1,0.993902,0.998585,0.956212,0.719836,0.984568,0.951515,1,0.940373,1,0.978659,1,0.979323,0.999413,1,0.997917,0.984756,1] area_under_roc_curve 0.978824 [1,0.996951,0.994599,0.997436,1,1,0.985874,1,0.881098,1,0.985125,1,0.95679,0.993902,0.993865,0.991304,1,0.993902,1,0.927162,1,0.75,0.945833,0.948171,1] area_under_roc_curve 0.980282 [1,0.876524,0.998758,1,1,1,0.989291,1,0.993902,1,0.98282,0.94683,0.891304,0.927273,0.989775,0.995031,1,0.810976,0.831288,0.983553,1,1,1,0.963415,1] area_under_roc_curve 0.978398 [0.99591,0.972561,1,1,1,1,0.968558,1,0.780488,1,0.983449,0.896605,1,1,1,0.957764,1,0.996951,1,0.974359,0.997067,1,0.996875,0.792683,1] area_under_roc_curve 0.980956 [1,0.981707,1,1,1,1,0.983368,1,1,1,0.966269,0.997955,1,0.990854,0.997955,0.940373,1,1,1,0.954751,0.997654,1,0.972917,0.88872,1] area_under_roc_curve 0.977243 [1,0.993902,1,0.996474,1,1,0.966735,1,0.95122,1,0.983449,0.998457,0.945342,0.993902,1,0.95528,1,0.996951,1,0.926222,0.997067,1,0.995833,0.844512,1] area_under_roc_curve 0.983673 [1,0.990854,0.995031,0.998718,1,1,0.989519,1,0.990854,0.997877,0.988896,0.742331,0.997516,1,1,0.997516,1,1,1,0.980733,1,0.75,0.979688,0.914634,1] area_under_roc_curve 0.987119 [1,1,1,1,1,1,0.990203,1,0.890244,1,0.976744,0.997955,1,1,0.997955,0.914286,1,0.990854,1,0.99859,1,1,1,0.871951,1] area_under_roc_curve 0.982171 [1,0.990854,1,1,1,1,0.987469,1,1,1,0.976325,0.997955,0.91821,1,0.997955,0.986335,1,0.847561,0.998457,0.970395,1,1,0.997917,0.746951,1] area_under_roc_curve 0.980826 [1,1,1,1,1,1,0.982798,1,0.86128,1,0.976535,1,1,0.981707,0.99182,0.90559,1,1,1,0.968985,1,1,0.985417,0.792683,1] area_under_roc_curve 0.982412 [1,0.978659,1,0.995833,1,1,0.986102,1,0.993902,1,0.983239,1,0.996914,0.993939,1,0.954037,1,1,1,0.916823,0.997067,1,0.995833,0.862805,1] area_under_roc_curve 0.983081 [1,0.996951,0.999228,1,1,0.993902,0.991342,1,0.987805,1,0.951393,1,1,0.993902,1,0.992547,1,0.996951,0.997955,0.986372,0.994721,1,0.984375,0.862805,1] area_under_roc_curve 0.986647 [1,1,1,1,1,1,0.991114,1,0.963415,1,0.975906,1,1,1,1,0.985093,1,0.993902,1,0.984023,1,0.993902,0.944792,0.847561,1] area_under_roc_curve 0.980016 [1,0.618902,0.997516,0.998718,1,1,0.987013,1,1,1,0.981982,1,0.993789,0.987879,1,0.922981,1,1,1,0.945199,1,1,0.991667,0.878049,1] area_under_roc_curve 0.988945 [1,0.990854,1,1,1,1,0.987013,1,0.996951,1,0.984915,1,0.975309,0.984756,1,0.944099,1,0.996951,1,0.984962,1,1,0.973958,0.957576,1] area_under_roc_curve 0.982174 [1,1,0.999379,1,1,1,0.992709,1,1,1,0.978001,0.746421,1,1,0.98773,0.926708,1,1,1,0.989662,1,0.5,0.991667,0.978659,1] area_under_roc_curve 0.976412 [1,0.993902,1,1,1,1,0.97619,1,0.984756,1,0.970983,0.997955,0.87764,1,0.993902,0.938509,1,1,1,0.964991,1,1,0.996875,0.716463,1] area_under_roc_curve 0.972688 [1,0.628049,1,0.997115,1,1,0.985646,1,1,0.996461,0.96983,1,0.987654,0.981707,1,0.980124,1,0.996951,1,0.927162,1,0.996951,0.991667,0.814024,0.5] area_under_roc_curve 0.978956 [0.997955,0.990854,1,1,1,1,0.985418,1,0.914634,1,0.963545,0.977505,0.992284,1,0.993865,0.950311,1,0.97561,1,0.961936,1,1,0.979688,0.800305,1] area_under_roc_curve 0.976166 [0.997955,0.615854,0.996273,1,1,1,0.982228,1,0.97561,1,0.975487,0.993865,0.984568,1,1,0.970186,1,1,1,0.941176,0.995894,0.748476,0.998958,0.927273,1] area_under_roc_curve 0.974391 [1,0.984756,1,1,0.997955,1,0.967646,1,0.993902,1,0.971716,0.993865,0.993827,1,0.98773,0.962733,1,0.993902,1,0.932096,0.928152,1,0.988542,1,1] area_under_roc_curve 0.982775 [1,0.978659,1,1,1,1,0.975621,1,1,1,0.982191,1,0.996914,1,1,0.97764,1,0.987879,0.87037,0.956297,1,1,0.991667,0.981707,1] area_under_roc_curve 0.986007 [0.99591,0.990854,1,1,1,1,0.979722,1,0.97561,1,0.983141,0.981595,0.986111,1,1,0.995031,1,0.990854,1,0.961466,1,1,0.983333,0.929878,1] area_under_roc_curve 0.989701 [1,1,1,1,1,1,0.981773,1,0.848485,1,0.992393,0.997955,0.983851,0.945455,1,0.990062,1,0.996951,0.99182,0.993891,1,1,0.985417,0.727273,1] area_under_roc_curve 0.984362 [1,0.95122,0.998758,0.998077,1,1,0.990203,1,0.85061,1,0.979677,0.97546,0.996914,1,1,0.950311,1,0.996951,1,0.968045,1,1,1,0.844512,1] area_under_roc_curve 0.987553 [1,0.996951,0.998758,1,1,1,0.989747,1,0.996951,1,0.986172,1,0.99537,0.939394,1,0.975155,1,0.993939,0.99591,0.996241,0.929912,0.993902,0.994792,0.890909,1] area_under_roc_curve 0.985818 [1,1,1,1,1,0.996951,0.996582,1,1,1,0.979258,0.880368,1,0.978659,1,0.992547,1,0.797256,1,0.984492,0.992308,1,0.997917,0.841463,1] area_under_roc_curve 0.981105 [1,0.996951,1,1,1,1,0.977785,1,1,1,0.986801,1,0.989198,1,1,0.970186,1,0.814024,1,0.980028,0.923718,1,0.995833,0.86128,1] area_under_roc_curve 0.990232 [1,1,0.997516,0.997436,1,1,0.990317,1,1,1,0.98722,1,0.998457,1,0.997955,0.987578,1,0.996951,1,0.980028,1,1,0.930208,0.993902,1] area_under_roc_curve 0.991008 [0.997955,0.993902,1,1,1,1,0.99681,1,1,1,0.980725,0.99591,0.978395,0.981707,1,0.991304,1,1,1,0.98542,0.99824,1,1,0.865854,1] area_under_roc_curve 0.986312 [1,0.996951,1,1,1,1,0.992253,1,0.996951,0.996461,0.985544,1,0.998457,1,1,0.991304,1,0.815549,1,0.975564,1,1,0.998958,0.914634,0.5] area_under_roc_curve 0.99093 [1,1,1,1,1,1,0.997494,1,0.948171,1,0.994134,1,0.998457,0.996951,1,0.88323,1,1,1,0.993421,0.998718,1,0.966667,0.89939,1] area_under_roc_curve 0.98282 [1,0.63872,1,1,1,1,0.986102,1,0.990854,1,0.983868,1,0.993827,1,1,0.922981,1,0.990854,1,0.998994,1,1,0.906771,0.972561,1] area_under_roc_curve 0.981407 [1,1,1,1,1,1,0.998177,1,0.903963,0.996108,0.977163,0.749489,0.975309,1,1,0.828571,1,1,1,0.994361,1,1,0.978125,0.981707,1] area_under_roc_curve 0.974902 [1,0.942073,0.995031,0.996154,1,1,0.977444,1,0.987805,1,0.979468,1,0.907407,1,1,0.914286,1,0.990854,1,0.931861,0.999359,0.748476,0.991667,0.935976,1] area_under_roc_curve 0.981794 [0.99591,1,1,1,1,1,0.977216,1,0.993902,1,0.984496,0.877301,0.975309,0.981818,1,0.993789,1,0.78811,1,0.952538,1,1,0.994792,0.981707,1] area_under_roc_curve 0.986703 [1,0.960366,1,1,1,1,0.970267,1,0.993902,1,0.994655,1,0.998457,0.984756,0.993902,0.899379,1,0.990854,1,0.992961,1,1,0.989583,0.896341,1] area_under_roc_curve 0.981645 [1,0.993902,0.998758,0.998718,1,0.996951,0.970039,1,0.993902,1,0.987639,1,0.846451,1,1,0.978882,1,0.996951,1,0.986842,1,1,0.910417,0.948171,1] area_under_roc_curve 0.980322 [1,0.614329,0.993789,0.998718,1,1,0.972887,1,0.993902,1,0.987429,1,0.959877,1,1,0.909317,1,1,1,0.975564,1,1,0.990625,0.966463,1] area_under_roc_curve 0.986641 [1,1,1,1,1,1,0.980406,1,1,0.995754,0.985197,0.817901,1,1,1,0.991304,1,0.933333,1,0.996983,1,1,0.992708,0.97561,1] area_under_roc_curve 0.983856 [0.997955,0.969512,0.998758,1,1,1,1,1,0.945122,1,0.974335,0.992284,0.998457,0.978659,1,0.96646,1,1,1,0.96875,0.998827,1,0.904167,0.862805,1] area_under_roc_curve 0.979429 [0.99591,0.990854,1,1,1,1,0.975849,1,0.993902,1,0.981563,0.99591,0.998457,0.957576,1,0.925466,1,0.756098,1,0.986842,1,1,0.994792,0.621951,1] area_under_roc_curve 0.980838 [1,1,1,0.999359,1,1,0.965026,1,0.987805,1,0.987429,0.993865,0.992284,1,0.99591,0.947826,1,0.993902,1,0.944193,1,1,0.991667,0.789634,1] area_under_roc_curve 0.988314 [1,0.987805,1,1,1,1,0.984279,1,0.990854,0.998938,0.989943,1,0.942901,0.996951,1,0.991304,1,0.993902,1,0.980733,1,1,0.93125,0.987805,1] area_under_roc_curve 0.977761 [1,1,1,1,1,1,0.969013,1,0.990854,0.9954,0.993715,1,0.99537,1,0.993865,0.986335,1,0.79878,0.821063,0.968515,1,1,0.948958,0.957317,0.5] area_under_roc_curve 0.990129 [0.99591,0.993902,1,1,1,1,0.995899,1,0.987805,1,0.983449,1,0.987654,1,1,0.956522,1,1,1,0.995301,1,1,0.977083,0.814024,1] area_under_roc_curve 0.983754 [1,0.996951,1,0.998718,1,1,0.982,1,1,1,0.980934,1,0.967593,0.993902,1,0.934161,1,0.987805,1,0.963801,1,1,0.972917,0.875,1] area_under_roc_curve 0.989639 [1,1,1,1,1,1,0.992195,1,0.984663,1,0.987982,0.993827,1,1,0.99177,0.96625,1,1,1,0.949858,0.998229,1,0.996855,0.993865,1] area_under_roc_curve 0.985849 [1,0.978528,1,1,1,1,0.993802,1,1,1,0.980997,0.962963,0.970497,0.993865,1,0.97375,1,0.969512,0.820988,0.982498,0.996129,1,0.993711,0.93865,1] area_under_roc_curve 0.98842 [1,0.990798,1,1,1,1,0.986915,1,0.981595,1,0.989654,1,0.99375,1,0.997942,0.9825,1,0.765337,1,0.972091,1,1,0.995807,0.984663,1] area_under_roc_curve 0.9818 [1,0.981595,1,1,1,1,0.96809,1,0.957055,1,0.991976,1,0.9275,1,0.990798,0.8725,1,0.993902,1,0.987348,0.996129,0.996933,0.985325,0.895706,1] area_under_roc_curve 0.977096 [1,0.993865,1,1,1,1,0.994949,1,1,1,0.956609,1,0.931677,0.969512,0.996933,0.98125,1,0.98773,1,0.934957,0.965161,1,0.994759,0.861963,1] area_under_roc_curve 0.976123 [1,0.990798,1,1,0.998447,1,0.999311,1,1,1,0.940456,1,0.954969,0.978528,1,0.99,1,0.814417,1,0.987348,0.966057,1,0.992662,0.768405,1] area_under_roc_curve 0.982213 [1,0.993865,1,0.995806,1,1,0.985996,0.996933,1,1,0.982897,1,1,1,0.996933,0.95,1,0.831288,1,0.926679,1,1,1,0.920245,1] area_under_roc_curve 0.985119 [1,0.993865,1,1,1,1,0.991736,1,1,1,0.981419,0.993827,0.970497,1,0.993865,0.965,1,0.990798,1,0.926916,1,1,0.993711,0.960123,1] area_under_roc_curve 0.984606 [1,0.993865,1,1,1,1,0.991506,1,0.865031,1,0.982897,1,0.998447,1,0.995885,0.94875,1,0.765337,1,0.995743,0.996129,1,0.922432,0.981595,1] area_under_roc_curve 0.987332 [1,0.98773,1,1,1,1,0.987718,1,0.98773,1,0.987965,1,0.984472,1,0.983539,0.94,1,0.990798,0.814815,0.987601,1,1,0.993711,0.993902,1] area_under_roc_curve 0.992453 [1,0.978528,1,1,1,1,0.998163,1,1,1,0.98353,1,0.99625,0.993902,1,0.96375,1,1,1,0.991012,0.997048,1,0.984277,0.96319,1] area_under_roc_curve 0.989747 [1,1,1,1,1,1,0.992424,1,0.734663,1,0.994932,0.997942,0.998447,1,0.99177,0.98125,1,1,1,0.988647,0.961613,1,0.994759,0.990798,1] area_under_roc_curve 0.981256 [1,0.993865,1,1,1,1,0.977961,1,1,1,0.979096,1,0.99375,1,1,0.9,1,0.993865,0.832305,0.965941,1,1,0.992662,0.993865,1] area_under_roc_curve 0.987823 [1,1,1,0.998065,1,1,0.992654,1,1,1,0.970017,1,0.99875,0.97546,1,0.96375,1,1,1,0.998482,1,1,0.990566,0.837423,1] area_under_roc_curve 0.983811 [1,0.647239,0.99625,0.997419,1,1,0.997245,1,0.996933,1,0.992821,0.958851,0.993789,1,0.989712,0.98875,1,1,1,0.933198,1,1,0.983229,0.843558,1] area_under_roc_curve 0.991366 [1,0.966258,1,1,1,0.97561,0.996097,1,0.996933,0.996019,0.987542,0.998447,0.990683,0.993865,1,1,1,1,1,0.99527,0.994687,1,0.998952,0.990798,0.5] area_under_roc_curve 0.988472 [1,0.993865,1,1,1,1,0.995409,1,0.993865,1,0.979941,1,0.996894,0.957055,1,0.935,1,1,1,0.99527,1,1,0.996855,0.76227,1] area_under_roc_curve 0.983063 [1,1,1,0.999355,1,1,0.992654,1,0.996933,1,0.970228,1,0.986025,0.97561,1,0.9975,1,1,1,0.982971,0.935655,1,0.997904,0.806748,1] area_under_roc_curve 0.983897 [1,0.613497,1,1,1,1,0.992654,1,1,1,0.992188,0.977366,0.993789,1,0.993827,0.97875,1,0.996933,1,0.935194,1,1,0.994759,0.904908,1] area_under_roc_curve 0.981103 [1,1,1,0.99871,1,1,0.98416,1,0.717791,0.996019,0.98522,0.99177,1,1,0.995885,0.945,1,1,1,0.989593,0.960744,1,0.995807,0.98773,0.5] area_under_roc_curve 0.981758 [1,0.978528,1,1,1,1,0.980257,1,0.993865,0.995621,0.984797,0.809006,1,1,1,1,1,0.969325,1,0.949385,1,1,1,0.91411,1] area_under_roc_curve 0.976701 [1,0.996933,1,0.995161,1,1,0.986685,1,1,1,0.982369,0.993827,0.993789,1,1,0.9975,1,0.990798,1,0.858806,1,1,1,0.605828,1] area_under_roc_curve 0.983577 [1,1,1,0.996452,1,1,0.982094,1,0.996933,1,0.992821,0.99177,0.998447,1,1,0.94125,1,0.993865,1,0.934248,1,1,0.986373,0.763804,1] area_under_roc_curve 0.989872 [1,1,1,1,1,0.996933,0.984389,1,0.874233,1,0.987153,1,0.996894,0.993902,0.993827,0.99875,1,0.993865,1,0.984312,1,1,0.997904,0.930982,1] area_under_roc_curve 0.993331 [1,1,1,1,1,1,0.991276,1,1,1,0.990921,1,0.996894,1,1,0.98625,1,1,1,0.984312,1,1,0.991614,0.929448,1] area_under_roc_curve 0.98579 [1,0.98773,1,0.997419,1,1,0.982782,1,0.898773,1,0.98902,1,0.993789,1,1,0.99625,1,1,1,0.929518,0.99941,1,0.994759,0.97546,1] area_under_roc_curve 0.988116 [0.995885,0.972393,1,1,0.998447,1,0.985537,1,1,1,0.978463,1,0.993789,0.993865,0.989712,0.99375,1,1,0.998447,0.977767,1,1,1,0.90184,1] area_under_roc_curve 0.987293 [0.987654,0.618098,1,1,1,1,0.999311,1,0.996933,1,0.997255,0.954733,0.993789,1,0.996933,0.96625,1,0.884969,1,1,1,0.996933,0.905136,0.98773,1] area_under_roc_curve 0.972741 [1,1,1,0.999355,0.998447,1,0.963613,1,0.792683,1,0.962099,1,0.978261,0.993865,1,0.98625,1,0.98773,0.826132,0.988866,1,1,0.980084,0.90184,0.5] area_under_roc_curve 0.975025 [1,0.78681,1,0.998065,1,1,0.979339,1,1,1,0.97614,0.983539,0.990683,0.969512,1,0.96125,1,0.838957,1,0.919584,0.99941,1,0.946541,0.98773,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.849466 [0.666667,0.8,1,1,1,0.8,0.885714,0.8,0,1,0.883117,0.5,0.666667,1,0.5,0.888889,0.8,0.5,1,0.740741,1,1,0.8,0,1] f_measure 0.851271 [1,1,0.888889,1,1,0,0.873239,0.8,0.5,0.947368,0.888889,0.8,0.888889,0,1,0.75,1,0.5,1,0.88,1,0.5,0.666667,0,0] f_measure 0.836447 [1,0.666667,1,1,0.888889,1,0.861111,1,0.5,1,0.886076,0.8,0.571429,0,0.666667,0.333333,1,0,1,0.814815,1,1,0.666667,0,0.666667] f_measure 0.878787 [1,1,0.8,0.952381,1,0.666667,0.911765,0.8,0,1,0.923077,1,1,0,0.666667,0.8,1,0.5,1,0.846154,1,0.666667,0.833333,0,1] f_measure 0.866329 [1,0.666667,1,1,1,0.666667,0.861538,0.666667,0.5,0.947368,0.909091,0.5,0.888889,1,1,0.666667,1,0.666667,1,0.8,1,0.8,0.727273,0,1] f_measure 0.832171 [0.857143,0.5,0.888889,0.952381,1,1,0.878788,1,0.666667,0.941176,0.846154,0.666667,0.75,0,0.8,0.666667,1,1,1,0.642857,0.952381,1,0.727273,0,1] f_measure 0.900828 [0.8,0.666667,1,1,1,1,0.911765,1,1,1,0.935065,0.857143,0.75,0.8,0.8,0.888889,0.666667,0,0.857143,0.814815,1,0.8,1,0,1] f_measure 0.815937 [0.8,1,1,1,0.857143,0.666667,0.84507,1,1,0.941176,0.853659,0.8,0.888889,0,0.4,0.888889,0,0,1,0.64,0.952381,1,0.5,0.5,1] f_measure 0.829634 [0.8,0,1,1,1,1,0.898551,1,0.666667,1,0.864198,0.666667,0.75,0,0.8,0.571429,1,0,1,0.592593,0.909091,1,0.833333,0.666667,1] f_measure 0.888814 [0.857143,0.5,1,1,1,1,0.956522,1,1,1,0.911392,1,0.333333,0,1,0.8,1,0,0.857143,0.923077,1,1,0.5,0,1] f_measure 0.870912 [0.857143,0,1,1,1,1,0.939394,1,0.666667,1,0.935065,0.4,0.5,0.666667,0.8,0.5,1,0.666667,1,0.846154,1,1,0.461538,0.666667,0.666667] f_measure 0.857241 [0.8,0.666667,1,1,0.857143,0.666667,0.941176,1,0,0.9,0.883117,0.857143,0.888889,0.666667,0.5,0.8,0.8,0.666667,0.8,0.785714,0.956522,0.5,0.727273,0,1] f_measure 0.841698 [1,0.4,0.888889,1,1,0.666667,0.898551,1,0,0.947368,0.876712,0.666667,0.666667,0,1,0.727273,1,0.666667,0.857143,0.758621,0.916667,1,0.769231,0,0] f_measure 0.848717 [1,0.5,1,1,1,1,0.909091,0.666667,0.8,1,0.886076,0.666667,0.333333,1,0.5,0.8,1,0,0.8,0.709677,1,1,0.833333,0,1] f_measure 0.833412 [1,0,1,0.952381,1,0.666667,0.895522,1,0.666667,0.941176,0.921053,1,0.666667,0.5,0.5,0.285714,1,0,1,0.733333,1,0.666667,0.8,0,0] f_measure 0.844273 [1,1,0.888889,0.909091,1,0.666667,0.925373,0.8,1,1,0.85,0.8,1,0,0.666667,0.333333,0,0,1,0.774194,1,0.666667,0.909091,0,1] f_measure 0.830608 [1,0.666667,0.909091,1,1,1,0.861538,1,0.666667,1,0.853333,0.571429,0.888889,1,0.4,0.727273,1,1,1,0.714286,0.818182,0.5,0.545455,0,1] f_measure 0.871776 [1,0,0.857143,1,1,0.8,0.923077,1,0,1,0.883117,1,0.833333,0.666667,0.857143,0.8,1,1,1,0.814815,0.956522,1,0.727273,0,1] f_measure 0.875228 [1,1,1,0.888889,1,0.666667,0.923077,1,1,0.9,0.88,0.8,0.888889,0,0.666667,0.666667,1,0.666667,1,0.896552,0.909091,1,0.833333,0,1] f_measure 0.906725 [0.857143,0.666667,1,1,0.888889,1,0.955224,1,0.666667,1,0.923077,0.666667,0.888889,1,0.8,1,1,1,1,0.769231,0.956522,1,0.8,0,1] f_measure 0.848319 [0.8,0.5,0.909091,1,1,1,0.898551,1,0.5,1,0.860759,0.8,0.75,0,0.666667,0.5,1,0.4,0.8,0.88,0.952381,0.666667,0.615385,1,1] f_measure 0.884518 [1,0.666667,0.909091,0.947368,1,1,0.885246,1,0.666667,1,0.911392,1,1,0.666667,0.8,0.666667,1,0.666667,1,0.8,0.952381,1,0.6,0,1] f_measure 0.865144 [1,0.666667,0.888889,0.947368,1,1,0.914286,1,1,1,0.897436,1,0.75,0,0.8,0.571429,0.666667,0.666667,1,0.8,0.952381,1,0.666667,0,1] f_measure 0.826064 [1,0.666667,0.909091,0.888889,1,0,0.888889,1,0.8,0.947368,0.842105,0.285714,0.75,0,0.8,0.571429,1,0,1,0.83871,0.88,1,0.923077,0,0.666667] f_measure 0.818745 [0.8,0.666667,0.888889,0.952381,1,1,0.857143,1,0,1,0.860759,1,0,0.5,0.857143,0.444444,0.666667,0.8,0.857143,0.785714,1,0.666667,0.833333,0,1] f_measure 0.844048 [0.8,0.4,0.888889,1,1,0.8,0.927536,1,0.666667,0.947368,0.886076,0.8,0.571429,0,0.8,0.769231,1,0,0.666667,0.888889,1,1,0.5,0,0.666667] f_measure 0.83672 [0.857143,0,1,1,1,1,0.84375,1,0.4,1,0.888889,0.4,0.857143,1,1,0.6,0.666667,0.5,1,0.740741,0.909091,1,0.8,0,0.666667] f_measure 0.846918 [1,0.5,1,1,1,1,0.895522,1,0.666667,0.941176,0.891892,0.75,0.857143,0,0.8,0.2,1,1,0.857143,0.88,0.916667,1,0.5,0,1] f_measure 0.833713 [1,0.571429,0.75,0.869565,1,0.666667,0.878788,0.8,0,0.947368,0.909091,0.857143,0.571429,0.5,1,0.75,1,0.8,1,0.785714,0.952381,0.666667,0.6,0,1] f_measure 0.896043 [1,0.666667,0.8,0.952381,1,1,0.895522,1,0.5,0.947368,0.935065,0.8,0.888889,1,1,0.888889,0.666667,0.666667,1,0.866667,1,0.666667,0.909091,0,1] f_measure 0.877856 [1,0.8,0.75,0.9,1,1,0.885714,1,0.666667,1,0.897436,0.8,1,0.666667,0.5,0.75,1,0,1,0.928571,0.952381,1,1,0,1] f_measure 0.827465 [1,0.5,1,0.875,1,0.8,0.901408,1,0.666667,1,0.868421,0.8,0.666667,0,0.5,0.666667,0.8,0,0.75,0.758621,0.956522,0.666667,0.727273,0,1] f_measure 0.829005 [1,1,0.888889,0.952381,1,0.8,0.901408,0.8,0,1,0.839506,0.8,0.857143,0.5,0.5,0.333333,1,1,1,0.740741,1,1,0.545455,0,1] f_measure 0.875535 [1,0,1,0.952381,1,1,0.882353,1,0.666667,1,0.923077,1,0.75,0.666667,1,0.666667,1,1,1,0.740741,0.952381,1,0.727273,0,1] f_measure 0.822891 [1,0.8,0.666667,0.952381,0.888889,0.666667,0.895522,1,0.5,1,0.763158,0.8,0.888889,0.5,1,0.6,0.666667,0,0.857143,0.846154,0.952381,1,0.769231,0,1] f_measure 0.858699 [1,0.666667,0.833333,0.947368,1,1,0.923077,1,0.666667,1,0.909091,0.8,1,0,0.8,0.666667,0.8,0.666667,0.666667,0.733333,0.952381,0.4,0.769231,0,1] f_measure 0.839978 [1,0.666667,0.75,0.9,1,1,0.895522,1,0.8,1,0.864198,1,0.909091,0,0.8,0.571429,1,0,1,0.56,1,1,0.857143,0,1] f_measure 0.883917 [1,0.4,0.909091,0.888889,1,1,0.941176,1,0.8,1,0.921053,1,0.4,0.666667,1,0.666667,0.8,0.5,0.857143,0.88,1,1,0.666667,0,1] f_measure 0.873722 [1,0.8,0.909091,1,1,0.666667,0.929577,1,1,0.947368,0.921053,0.5,0.888889,0.666667,0.5,0.727273,0.666667,1,1,0.75,1,0,0.727273,0,1] f_measure 0.872923 [1,0.666667,1,1,1,1,0.861111,1,0.666667,1,0.894737,0.5,0.8,1,0.666667,0.75,1,0.666667,1,0.8,1,0.8,0.833333,0,1] f_measure 0.823196 [1,0.666667,0.857143,0.909091,0.888889,0.666667,0.914286,1,1,0.947368,0.829268,1,0.571429,0,0.8,0.666667,1,0.5,1,0.636364,1,0.8,0.833333,0,0] f_measure 0.822732 [0.666667,0.4,0.888889,0.952381,0.888889,1,0.898551,0.8,0,1,0.868421,0.5,0.666667,0,0.857143,0.4,1,0.666667,1,0.857143,0.956522,1,0.545455,0,1] f_measure 0.82522 [0.8,0,0.909091,0.947368,1,0.8,0.865672,1,0,1,0.853333,0.857143,0.571429,0.666667,1,0.727273,1,0.5,1,0.666667,0.909091,0.666667,0.833333,0,1] f_measure 0.85463 [1,0.666667,1,1,0.857143,1,0.835821,1,0,1,0.883117,0.666667,0.75,1,0.4,0.888889,1,0.8,1,0.740741,0.952381,1,0.769231,0,1] f_measure 0.877767 [1,0,1,1,1,0.666667,0.96875,0.8,1,0.947368,0.886076,1,0.75,0,1,0.727273,1,0.5,0.857143,0.814815,0.952381,1,0.833333,0,1] f_measure 0.831522 [0.857143,0.5,0.888889,0.947368,1,1,0.84507,1,0,0.947368,0.904762,0.8,0.571429,1,1,0.8,1,0,0.888889,0.571429,1,1,0.909091,0,1] f_measure 0.884192 [0.5,1,1,1,1,1,0.911765,1,0,1,0.938272,0.8,0.75,0,0.8,0.6,1,0.5,0.8,0.875,1,0.666667,0.833333,0,1] f_measure 0.891676 [1,0.666667,0.888889,0.952381,1,1,0.923077,1,0.666667,1,0.9,0.8,0.75,1,0.8,0.75,1,0.666667,1,0.8,1,1,0.923077,0,1] f_measure 0.855885 [1,0,0.8,0.947368,1,0.666667,0.909091,1,0.666667,1,0.9,0.8,0.666667,0,0.857143,0.666667,1,0.666667,0.4,0.846154,0.952381,0.666667,0.857143,0,1] f_measure 0.870055 [1,1,0.909091,0.947368,1,0.5,0.953846,1,1,1,0.871795,0.8,1,0,1,0.5,1,0.5,0.888889,0.866667,0.842105,1,0.833333,0,0.666667] f_measure 0.885695 [1,0.666667,1,1,1,1,0.875,1,0.8,1,0.897436,1,0.857143,1,1,0.75,1,0.666667,1,0.75,0.9,1,0.833333,0,1] f_measure 0.871735 [1,1,0.888889,0.952381,1,1,0.861538,1,0.8,1,0.897436,1,0.857143,0,0.666667,0.6,1,0.666667,1,0.83871,1,1,0.666667,0,1] f_measure 0.916453 [0.857143,0.666667,1,1,1,0.8,0.955224,1,1,1,0.911392,0.8,0.857143,0.4,1,0.888889,1,1,1,0.833333,0.952381,1,1,0,1] f_measure 0.858149 [0.857143,0.5,1,1,1,0.8,0.923077,1,0.5,0.947368,0.883117,1,0.857143,0.8,0.666667,0.571429,1,0,1,0.83871,1,0,0.8,0,0] f_measure 0.88364 [1,0.8,0.888889,0.952381,1,1,0.969697,1,0.666667,1,0.888889,1,0.857143,0,1,0.444444,1,1,1,0.769231,0.947368,1,0.666667,0.5,1] f_measure 0.863928 [1,0.666667,1,0.952381,0.888889,1,0.878788,1,0.4,1,0.906667,1,0.75,1,0.666667,0.444444,0.666667,0,1,0.928571,1,1,0.615385,0,1] f_measure 0.844051 [1,1,0.888889,0.947368,1,0.666667,0.96875,1,0.666667,0.9,0.861111,0.4,0.571429,0.666667,0.857143,0,0.666667,0,0.857143,0.875,1,1,0.666667,0.666667,1] f_measure 0.850371 [1,0.5,0.909091,0.952381,1,1,0.90625,1,0.666667,1,0.846154,1,0.571429,1,1,0.5,0,0.5,1,0.785714,0.947368,0.5,0.714286,0.5,1] f_measure 0.817745 [0.857143,1,1,0.952381,1,0.666667,0.861538,0.666667,0.666667,1,0.85,0.8,0.333333,0,0.8,0.727273,1,0,1,0.642857,1,1,0.666667,0,1] f_measure 0.857559 [1,0.5,1,1,1,1,0.882353,1,0.5,0.947368,0.938272,1,0.75,0,0.5,0.571429,1,0,0.8,0.88,0.947368,0.8,0.714286,0,1] f_measure 0.834626 [1,0.8,0.8,0.947368,0.857143,0.5,0.84058,1,0.666667,0.9,0.894737,1,0.857143,1,0.8,0.4,1,0.666667,1,0.785714,1,0.666667,0.545455,0,1] f_measure 0.831855 [1,0,0.8,0.9,1,0.8,0.823529,1,0,1,0.931507,1,0.5,1,1,0.571429,1,0.666667,1,0.689655,1,1,0.666667,0,1] f_measure 0.89693 [1,0.666667,1,0.947368,1,0.666667,0.927536,1,0.666667,0.9,0.944444,0.857143,1,0,0.8,0.8,0.666667,0,1,0.928571,1,1,0.727273,0.444444,1] f_measure 0.86578 [0.8,0.5,0.75,0.952381,1,1,0.985075,1,0.666667,1,0.818182,0.666667,0.857143,0.666667,1,0.8,1,1,1,0.727273,0.956522,1,0.8,0,1] f_measure 0.832378 [0.857143,0,1,0.947368,1,1,0.830769,1,0,1,0.886076,0.5,0.75,0,0.8,0.8,1,0,1,0.8,0.909091,1,0.923077,0,1] f_measure 0.841317 [1,1,1,0.947368,1,1,0.830769,1,0.666667,1,0.888889,0.666667,0.857143,0.666667,0.857143,0,1,0.5,1,0.769231,0.956522,1,0.615385,0.5,1] f_measure 0.846897 [1,0.5,0.909091,0.947368,1,0,0.876712,1,0,0.947368,0.897436,1,0.75,0.666667,0.666667,0.8,1,0.666667,1,0.695652,1,1,0.727273,0.4,0] f_measure 0.82264 [0.8,0.666667,1,1,1,1,0.761905,1,0.333333,0.947368,0.935065,0.857143,0.75,1,0.5,0.666667,1,0,0.8,0.764706,0.952381,1,0.444444,0.666667,0] f_measure 0.878491 [0.8,0,0.909091,0.947368,1,1,0.927536,1,0.5,1,0.888889,1,0.75,1,0.8,0.666667,1,0.666667,1,0.846154,1,1,0.833333,0,1] f_measure 0.817737 [1,0,0.857143,0.909091,1,0.666667,0.882353,1,1,1,0.891892,0.857143,0.5,0.666667,0.5,0.4,1,0,1,0.714286,1,0.666667,0.625,0,1] f_measure 0.902819 [1,1,1,1,1,1,0.955224,1,0.666667,1,0.9,0.857143,0.888889,0,0.5,0.666667,0,1,1,0.928571,0.956522,1,0.923077,0,1] f_measure 0.847829 [1,0.4,1,0.947368,1,1,0.90411,1,1,1,0.894737,0.8,0.5,0,1,0.444444,1,0,0.8,0.782609,0.888889,1,0.857143,0,0.666667] f_measure 0.872215 [1,0.4,0.909091,0.947368,1,1,0.90625,1,0.5,1,0.921053,1,0.75,1,0.75,0.888889,1,0,0.8,0.785714,0.952381,0.8,0.857143,0,1] f_measure 0.823235 [1,0.333333,1,0.952381,1,1,0.857143,1,0.666667,1,0.921053,1,0.285714,0,0.666667,0.285714,1,0,0.75,0.761905,0.9,0.8,0.666667,0.5,1] f_measure 0.83179 [1,0.5,0.909091,0.947368,1,1,0.901408,1,1,0.947368,0.846154,1,0.666667,0,0.5,0.8,1,0,1,0.615385,0.9,1,0.727273,0,1] f_measure 0.864703 [1,0.666667,0.888889,0.947368,0.888889,1,0.970588,1,1,0.941176,0.805556,1,0.571429,0.666667,1,0.833333,0.666667,0.5,1,0.846154,0.909091,1,0.666667,0,1] f_measure 0.877053 [1,0.666667,0.888889,0.909091,1,0.8,0.909091,0.8,0,1,0.906667,1,0.666667,1,0.8,0.727273,1,0.666667,1,0.814815,1,1,0.909091,0,1] f_measure 0.832551 [1,0.4,0.909091,0.947368,1,0,0.885714,0.8,1,1,0.897436,0.857143,0.571429,0,0.5,0.571429,0.666667,0.5,1,0.608696,1,1,0.769231,0,1] f_measure 0.864293 [1,0.666667,1,1,1,1,0.876712,1,0,1,0.921053,1,0.666667,1,0.857143,0.285714,1,0.666667,1,0.814815,0.952381,1,0.5,0.666667,1] f_measure 0.862459 [1,0.666667,1,1,1,1,0.888889,0.8,0,1,0.906667,1,0.571429,0.666667,0.4,0.666667,1,0,0.8,0.88,1,1,0.666667,0.5,1] f_measure 0.866284 [0.8,0.5,1,0.947368,1,1,0.941176,1,0.666667,1,0.883117,1,0.666667,0,0.857143,0.666667,0.666667,1,0.857143,0.827586,0.952381,0.8,0.666667,0,1] f_measure 0.900243 [1,0,1,1,1,1,0.939394,1,0.5,1,0.911392,0.857143,0.888889,0.666667,0.5,0.8,1,1,1,0.846154,0.947368,1,0.923077,0.5,1] f_measure 0.835513 [0.8,0.5,0.888889,0.909091,1,1,0.835821,0.666667,0.666667,0.947368,0.894737,1,0.8,1,0.857143,0.571429,1,0,0.666667,0.714286,1,1,0.769231,0.5,1] f_measure 0.860639 [1,0.666667,0.888889,0.777778,1,1,0.892308,1,0.666667,1,0.860759,1,0.888889,0,1,0.444444,0.8,1,0.888889,0.888889,1,1,0.833333,0,1] f_measure 0.840956 [0.8,0.666667,0.888889,0.952381,1,1,0.916667,1,0,1,0.878049,0.571429,0.888889,0,0.8,0.5,1,0.666667,0.8,0.869565,1,0.8,0.545455,0,0.666667] f_measure 0.882582 [0.8,0,1,1,1,0,0.898551,1,0.5,0.941176,0.923077,0.857143,0.727273,0.666667,0.8,0.888889,1,1,1,0.888889,0.952381,1,0.909091,0.5,0] f_measure 0.886928 [1,0.4,1,1,1,1,0.925373,1,0.5,1,0.88,1,0.571429,0,1,0.727273,1,1,1,0.928571,0.952381,1,0.833333,0,1] f_measure 0.853578 [1,0.8,1,0.9,1,0.8,0.927536,1,0.666667,1,0.833333,1,0.4,0,1,0.727273,1,1,0.8,0.8,0.857143,0.8,0.833333,0,1] f_measure 0.852022 [0.8,0,1,1,1,0.571429,0.898551,1,1,1,0.909091,0.666667,0.75,1,0.571429,0.75,1,0.666667,1,0.75,0.909091,0.666667,0.727273,0,0.666667] f_measure 0.870507 [1,1,0.888889,0.9,1,1,0.909091,1,0,0.941176,0.897436,0.666667,1,1,0.857143,0.285714,1,0.666667,1,0.903226,0.952381,1,0.833333,0.5,0] f_measure 0.878457 [1,0.666667,1,1,1,1,0.878788,1,0,0.941176,0.935065,0.857143,1,0.666667,0.857143,1,1,0,0.857143,0.709677,1,1,0.909091,0,1] f_measure 0.887238 [1,0.5,1,0.952381,1,1,0.939394,1,1,1,0.906667,0.666667,0.75,0.8,0.8,0.8,1,0.5,1,0.769231,0.952381,1,0.8,0,1] f_measure 0.865427 [1,0.666667,1,0.952381,1,1,0.895522,1,0.666667,1,0.9,0.5,0.888889,1,1,0.545455,1,0.5,1,0.846154,0.952381,0.8,0.5,0,1] f_measure 0.888167 [0.857143,1,1,1,1,0.5,0.898551,1,0.666667,1,0.921053,0.8,0.857143,0,0.666667,0.909091,1,0,1,0.857143,0.947368,1,0.833333,0.5,1] f_measure 0.861915 [1,0.666667,0.888889,0.952381,1,0.666667,0.852459,1,1,1,0.921053,0.857143,0.571429,1,1,0.444444,1,0.666667,1,0.733333,0.952381,1,0.769231,0,1] f_measure 0.876419 [1,0.666667,1,0.952381,1,1,0.878788,1,0.4,1,0.933333,1,0.75,1,0.8,0.8,1,0,1,0.666667,0.956522,1,0.727273,0.4,1] f_measure 0.852625 [0.5,0,1,1,0.8,1,0.909091,1,1,1,0.9,1,0.5,0,0.8,0.8,1,0,0.857143,0.714286,1,0.8,0.909091,0.4,1] f_measure 0.883684 [0.666667,0.666667,0.888889,0.947368,1,1,0.985075,1,0.666667,1,0.923077,0,0.727273,1,0.8,0.666667,1,0,0.8,1,1,0.8,0.833333,0,0.666667] f_measure 0.840661 [1,1,1,0.947368,0.75,0.666667,0.875,1,0,0.857143,0.857143,1,0.857143,0,0.8,0.666667,1,0,0.8,0.83871,1,1,0.8,0.666667,0] f_measure 0.827975 [0.8,0,0.888889,0.952381,1,1,0.903226,1,0.8,1,0.842105,0.8,0.666667,0,0.8,0.363636,0.8,0.666667,0.8,0.727273,0.916667,0.666667,0.8,0.666667,1] kappa 0.842368 kappa 0.848206 kappa 0.83462 kappa 0.87685 kappa 0.856691 kappa 0.815457 kappa 0.897468 kappa 0.806639 kappa 0.820943 kappa 0.883345 kappa 0.863616 kappa 0.849346 kappa 0.836191 kappa 0.842323 kappa 0.829141 kappa 0.841944 kappa 0.816477 kappa 0.870531 kappa 0.863979 kappa 0.904228 kappa 0.835358 kappa 0.870679 kappa 0.856028 kappa 0.816221 kappa 0.809172 kappa 0.835331 kappa 0.828972 kappa 0.836802 kappa 0.822533 kappa 0.890569 kappa 0.876432 kappa 0.821778 kappa 0.827515 kappa 0.869868 kappa 0.809188 kappa 0.84994 kappa 0.835229 kappa 0.870552 kappa 0.869852 kappa 0.863014 kappa 0.820853 kappa 0.815259 kappa 0.809344 kappa 0.842913 kappa 0.877204 kappa 0.834111 kappa 0.88272 kappa 0.883523 kappa 0.849352 kappa 0.863509 kappa 0.877158 kappa 0.863346 kappa 0.911128 kappa 0.849848 kappa 0.876636 kappa 0.85699 kappa 0.844125 kappa 0.836386 kappa 0.80844 kappa 0.855724 kappa 0.815373 kappa 0.822984 kappa 0.884434 kappa 0.854599 kappa 0.835766 kappa 0.835677 kappa 0.841846 kappa 0.80907 kappa 0.876253 kappa 0.808999 kappa 0.903132 kappa 0.834358 kappa 0.863042 kappa 0.814259 kappa 0.827001 kappa 0.849602 kappa 0.869804 kappa 0.827363 kappa 0.861641 kappa 0.855197 kappa 0.855305 kappa 0.89672 kappa 0.821175 kappa 0.855661 kappa 0.839799 kappa 0.875659 kappa 0.883295 kappa 0.842282 kappa 0.84167 kappa 0.869053 kappa 0.876049 kappa 0.876712 kappa 0.861878 kappa 0.883042 kappa 0.849752 kappa 0.862888 kappa 0.848231 kappa 0.88972 kappa 0.828232 kappa 0.808163 kb_relative_information_score 138.223038 kb_relative_information_score 137.95337 kb_relative_information_score 135.719988 kb_relative_information_score 141.082681 kb_relative_information_score 143.042827 kb_relative_information_score 138.014225 kb_relative_information_score 145.242165 kb_relative_information_score 137.561216 kb_relative_information_score 136.672241 kb_relative_information_score 143.73917 kb_relative_information_score 141.227221 kb_relative_information_score 139.574185 kb_relative_information_score 135.333154 kb_relative_information_score 139.640673 kb_relative_information_score 134.818489 kb_relative_information_score 141.384065 kb_relative_information_score 135.767045 kb_relative_information_score 144.706713 kb_relative_information_score 142.671657 kb_relative_information_score 148.484657 kb_relative_information_score 137.340235 kb_relative_information_score 144.87756 kb_relative_information_score 141.128414 kb_relative_information_score 136.572794 kb_relative_information_score 136.743091 kb_relative_information_score 137.225125 kb_relative_information_score 136.941891 kb_relative_information_score 139.517675 kb_relative_information_score 137.044958 kb_relative_information_score 144.080292 kb_relative_information_score 143.917633 kb_relative_information_score 138.547865 kb_relative_information_score 135.523788 kb_relative_information_score 143.070962 kb_relative_information_score 136.236228 kb_relative_information_score 141.169219 kb_relative_information_score 140.735617 kb_relative_information_score 144.521024 kb_relative_information_score 142.854286 kb_relative_information_score 142.616894 kb_relative_information_score 135.141611 kb_relative_information_score 135.335149 kb_relative_information_score 138.013036 kb_relative_information_score 141.019129 kb_relative_information_score 143.205562 kb_relative_information_score 140.890324 kb_relative_information_score 140.377574 kb_relative_information_score 144.506785 kb_relative_information_score 141.238496 kb_relative_information_score 144.371565 kb_relative_information_score 146.312386 kb_relative_information_score 145.535261 kb_relative_information_score 146.91297 kb_relative_information_score 140.472285 kb_relative_information_score 144.976979 kb_relative_information_score 142.536882 kb_relative_information_score 139.129221 kb_relative_information_score 140.269496 kb_relative_information_score 137.258282 kb_relative_information_score 140.478912 kb_relative_information_score 138.240909 kb_relative_information_score 137.945647 kb_relative_information_score 145.418802 kb_relative_information_score 139.043543 kb_relative_information_score 137.40508 kb_relative_information_score 140.669791 kb_relative_information_score 138.365297 kb_relative_information_score 134.053059 kb_relative_information_score 144.678366 kb_relative_information_score 138.556409 kb_relative_information_score 144.792524 kb_relative_information_score 135.582888 kb_relative_information_score 143.675557 kb_relative_information_score 135.449332 kb_relative_information_score 138.698957 kb_relative_information_score 139.435393 kb_relative_information_score 143.626558 kb_relative_information_score 139.173727 kb_relative_information_score 140.847027 kb_relative_information_score 141.053504 kb_relative_information_score 142.47237 kb_relative_information_score 146.010424 kb_relative_information_score 138.045959 kb_relative_information_score 143.781627 kb_relative_information_score 137.518395 kb_relative_information_score 143.586763 kb_relative_information_score 147.36271 kb_relative_information_score 140.536485 kb_relative_information_score 138.456005 kb_relative_information_score 139.922563 kb_relative_information_score 142.107827 kb_relative_information_score 145.283719 kb_relative_information_score 143.847861 kb_relative_information_score 145.465757 kb_relative_information_score 146.447188 kb_relative_information_score 143.528351 kb_relative_information_score 141.435686 kb_relative_information_score 142.419828 kb_relative_information_score 133.567789 kb_relative_information_score 134.896907 mean_absolute_error 0.013269 mean_absolute_error 0.012133 mean_absolute_error 0.014361 mean_absolute_error 0.01127 mean_absolute_error 0.011107 mean_absolute_error 0.013272 mean_absolute_error 0.010205 mean_absolute_error 0.014259 mean_absolute_error 0.01409 mean_absolute_error 0.009965 mean_absolute_error 0.011329 mean_absolute_error 0.012269 mean_absolute_error 0.01307 mean_absolute_error 0.012827 mean_absolute_error 0.013131 mean_absolute_error 0.012022 mean_absolute_error 0.014468 mean_absolute_error 0.010484 mean_absolute_error 0.011881 mean_absolute_error 0.00888 mean_absolute_error 0.012996 mean_absolute_error 0.010446 mean_absolute_error 0.01176 mean_absolute_error 0.014557 mean_absolute_error 0.014594 mean_absolute_error 0.012748 mean_absolute_error 0.013252 mean_absolute_error 0.013012 mean_absolute_error 0.01352 mean_absolute_error 0.011801 mean_absolute_error 0.010182 mean_absolute_error 0.014448 mean_absolute_error 0.013498 mean_absolute_error 0.011138 mean_absolute_error 0.015171 mean_absolute_error 0.012486 mean_absolute_error 0.013417 mean_absolute_error 0.011383 mean_absolute_error 0.011562 mean_absolute_error 0.011846 mean_absolute_error 0.014752 mean_absolute_error 0.014374 mean_absolute_error 0.014 mean_absolute_error 0.013492 mean_absolute_error 0.011339 mean_absolute_error 0.012198 mean_absolute_error 0.010918 mean_absolute_error 0.010121 mean_absolute_error 0.011567 mean_absolute_error 0.011176 mean_absolute_error 0.01092 mean_absolute_error 0.010492 mean_absolute_error 0.009558 mean_absolute_error 0.012132 mean_absolute_error 0.009846 mean_absolute_error 0.011705 mean_absolute_error 0.013055 mean_absolute_error 0.012743 mean_absolute_error 0.014897 mean_absolute_error 0.011722 mean_absolute_error 0.014341 mean_absolute_error 0.014516 mean_absolute_error 0.011065 mean_absolute_error 0.011698 mean_absolute_error 0.012738 mean_absolute_error 0.013093 mean_absolute_error 0.012989 mean_absolute_error 0.01456 mean_absolute_error 0.010617 mean_absolute_error 0.013201 mean_absolute_error 0.009839 mean_absolute_error 0.014076 mean_absolute_error 0.011272 mean_absolute_error 0.013477 mean_absolute_error 0.013093 mean_absolute_error 0.013323 mean_absolute_error 0.010517 mean_absolute_error 0.012627 mean_absolute_error 0.011808 mean_absolute_error 0.013015 mean_absolute_error 0.011006 mean_absolute_error 0.009548 mean_absolute_error 0.013877 mean_absolute_error 0.011412 mean_absolute_error 0.012469 mean_absolute_error 0.010457 mean_absolute_error 0.008758 mean_absolute_error 0.012378 mean_absolute_error 0.012302 mean_absolute_error 0.012582 mean_absolute_error 0.01181 mean_absolute_error 0.009758 mean_absolute_error 0.010782 mean_absolute_error 0.01009 mean_absolute_error 0.011449 mean_absolute_error 0.011703 mean_absolute_error 0.01211 mean_absolute_error 0.010121 mean_absolute_error 0.014161 mean_absolute_error 0.015011 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.070926 mean_prior_absolute_error 0.071001 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07092 mean_prior_absolute_error 0.071006 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070935 mean_prior_absolute_error 0.070986 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.071026 mean_prior_absolute_error 0.070993 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071003 mean_prior_absolute_error 0.071007 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.071047 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.070989 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 0.071024 mean_prior_absolute_error 0.071045 mean_prior_absolute_error 0.070987 mean_prior_absolute_error 0.071012 mean_prior_absolute_error 0.071038 mean_prior_absolute_error 0.071029 mean_prior_absolute_error 0.071009 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.071021 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070982 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071008 mean_prior_absolute_error 0.07104 mean_prior_absolute_error 0.070995 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.070941 mean_prior_absolute_error 0.070888 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071008 mean_prior_absolute_error 0.071039 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071015 mean_prior_absolute_error 0.071027 mean_prior_absolute_error 0.071013 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.07095 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.071016 mean_prior_absolute_error 0.070949 mean_prior_absolute_error 0.070994 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.071018 mean_prior_absolute_error 0.07101 mean_prior_absolute_error 0.071035 mean_prior_absolute_error 0.071032 mean_prior_absolute_error 0.070856 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.070996 mean_prior_absolute_error 0.070967 mean_prior_absolute_error 0.070983 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070938 mean_prior_absolute_error 0.070985 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070954 mean_prior_absolute_error 0.070971 mean_prior_absolute_error 0.070963 mean_prior_absolute_error 0.071019 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.070956 mean_prior_absolute_error 0.070968 mean_prior_absolute_error 0.070948 mean_prior_absolute_error 0.070988 mean_prior_absolute_error 0.070961 mean_prior_absolute_error 0.070957 mean_prior_absolute_error 0.071 mean_prior_absolute_error 0.070974 mean_prior_absolute_error 0.070947 mean_prior_absolute_error 0.070975 mean_prior_absolute_error 0.07096 mean_prior_absolute_error 0.07099 mean_prior_absolute_error 0.070972 mean_prior_absolute_error 0.070984 mean_prior_absolute_error 0.070961 number_of_instances 166 [4,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,1,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,2,9,38,3,5,2,2,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,38,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,8,38,3,5,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,3,2,33,2,2,9,38,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,3,5,2,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,1,33,2,1,9,37,4,5,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,8,37,3,5,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,5,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,1,33,2,2,9,37,3,4,2,2,5,1,2,4,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,2,3,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,11,1,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,2,1,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,2,9,37,4,5,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,8,37,3,4,1,3,5,2,2,4,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,5,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,3,5,2,2,3,14,10,1,6,1,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,5,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,37,3,5,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,2,4,13,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,9,3,2,33,2,2,9,38,3,4,1,2,5,2,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,1,33,2,1,9,38,3,5,1,3,5,2,2,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,2,1,3,14,11,2,6,1,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,13,11,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,1,4,14,10,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,9,4,1,33,2,2,9,37,3,4,1,3,5,2,2,3,14,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,4,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,38,3,4,2,2,5,1,2,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [4,2,5,10,3,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,38,4,4,2,3,5,1,1,3,13,10,2,6,2,1] number_of_instances 166 [3,2,5,10,3,2,33,2,2,9,37,4,4,2,2,5,1,2,3,14,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,1,33,2,2,9,37,4,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,38,3,5,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,5,2,2,5,1,1,3,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,13,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,4,4,2,3,5,1,2,3,13,11,2,6,1,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,3,5,1,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,2,3,5,1,1,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,8,37,3,5,2,3,5,2,1,4,13,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,9,37,4,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,4,4,2,3,5,1,1,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,10,1,6,2,1] number_of_instances 165 [3,2,5,10,3,2,33,2,2,9,37,3,4,1,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,9,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,4,4,1,3,5,1,2,4,14,11,1,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,9,37,3,4,2,3,5,1,2,3,13,10,2,6,2,1] number_of_instances 165 [4,2,4,10,4,1,33,2,2,9,37,3,4,1,2,5,2,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,4,9,4,2,33,2,2,8,38,3,4,1,3,5,2,2,4,13,10,2,6,2,1] number_of_instances 165 [4,2,5,10,3,1,33,2,2,9,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,10,2,6,2,1] number_of_instances 165 [3,2,5,9,3,2,33,2,2,9,37,3,4,2,2,5,1,2,3,14,11,2,6,2,1] number_of_instances 165 [3,2,4,10,4,2,33,2,1,9,37,3,4,2,3,5,1,2,3,13,11,2,6,2,1] number_of_instances 165 [3,2,5,10,4,1,33,2,2,8,37,3,4,1,3,5,2,2,3,14,11,1,6,2,1] precision 0.859745 [1,0.666667,1,1,1,0.666667,0.837838,0.666667,0,1,0.85,1,1,1,0.5,1,0.666667,0.5,1,0.714286,1,1,1,0,1] precision 0.851114 [1,1,0.8,1,1,0,0.815789,0.666667,0.5,0.9,0.837209,1,1,0,1,1,1,0.5,1,0.916667,1,0.5,1,0,0] precision 0.845042 [1,1,1,1,0.8,1,0.794872,1,0.5,1,0.833333,1,0.666667,0,1,1,1,0,1,0.846154,1,1,0.666667,0,0.5] precision 0.873337 [1,1,0.8,0.909091,1,1,0.885714,0.666667,0,1,0.878049,1,1,0,0.666667,0.8,1,0.5,1,0.916667,1,1,0.833333,0,1] precision 0.877334 [1,0.5,1,1,1,0.5,0.875,1,0.5,0.9,0.897436,1,1,1,1,0.75,1,1,1,0.705882,1,0.666667,0.8,0,1] precision 0.835179 [1,0.5,1,0.909091,1,1,0.878788,1,1,0.888889,0.804878,0.666667,0.75,0,1,0.571429,1,1,1,0.642857,1,1,0.8,0,1] precision 0.902358 [1,1,1,1,1,1,0.885714,1,1,1,0.9,0.75,0.75,0.666667,1,1,0.5,0,1,0.846154,1,0.666667,1,0,1] precision 0.812094 [1,1,1,1,0.75,1,0.789474,1,1,0.888889,0.795455,1,1,0,0.5,1,0,0,1,0.666667,1,1,0.5,0.5,1] precision 0.831981 [1,0,1,1,1,1,0.861111,1,1,1,0.813953,0.666667,0.75,0,0.666667,1,1,0,1,0.571429,0.909091,1,0.833333,1,1] precision 0.898881 [1,0.5,1,1,1,1,0.916667,1,1,1,0.857143,1,0.5,0,1,0.8,1,0,0.75,1,1,1,1,0,1] precision 0.875229 [0.75,0,1,1,1,1,0.939394,1,0.5,1,0.9,0.5,0.5,1,0.666667,0.666667,1,1,1,0.846154,1,1,0.428571,1,0.5] precision 0.862862 [1,1,1,1,1,0.5,0.914286,1,0,0.818182,0.85,1,1,1,0.5,0.8,0.666667,1,1,0.733333,0.916667,0.5,0.8,0,1] precision 0.840456 [1,0.333333,1,1,1,1,0.861111,1,0,0.9,0.888889,0.666667,1,0,1,0.666667,1,1,0.75,0.733333,0.846154,1,0.714286,0,0] precision 0.850756 [1,0.5,1,1,1,1,0.909091,1,0.666667,1,0.833333,0.666667,0.5,1,1,0.8,1,0,1,0.647059,1,1,0.833333,0,1] precision 0.836746 [1,0,1,0.909091,1,1,0.882353,1,0.5,0.888889,0.897436,1,0.75,0.5,1,0.5,1,0,1,0.6875,1,1,0.666667,0,0] precision 0.854778 [1,1,1,0.833333,1,1,0.911765,0.666667,1,1,0.790698,1,1,0,0.666667,1,0,0,1,0.705882,1,1,1,0,1] precision 0.831323 [1,1,0.833333,1,1,1,0.875,1,1,1,0.842105,0.5,0.8,1,0.5,0.666667,1,1,1,0.666667,0.818182,0.5,0.6,0,1] precision 0.8653 [1,0,1,1,1,0.666667,0.9375,1,0,1,0.85,1,0.714286,1,0.75,0.8,1,1,1,0.785714,0.916667,1,0.8,0,1] precision 0.8822 [1,1,1,1,1,0.5,0.9375,1,1,0.818182,0.868421,1,0.8,0,1,0.75,1,1,1,0.8125,0.909091,1,0.833333,0,1] precision 0.909317 [0.75,1,1,1,0.8,1,0.941176,1,1,1,0.878049,0.666667,0.8,1,1,1,1,1,1,0.833333,0.916667,1,1,0,1] precision 0.854705 [1,0.5,0.833333,1,1,1,0.861111,1,0.5,1,0.809524,1,0.75,0,1,0.666667,1,0.333333,1,0.916667,1,1,0.571429,1,1] precision 0.899957 [1,1,0.833333,1,1,1,0.964286,1,1,1,0.857143,1,1,0.5,0.666667,0.571429,1,1,1,0.75,1,1,0.75,0,1] precision 0.877563 [1,1,1,0.9,1,1,0.864865,1,1,1,0.853659,1,0.75,0,1,0.444444,0.5,1,1,0.909091,1,1,1,0,1] precision 0.834341 [1,1,0.833333,1,1,0,0.933333,1,0.666667,0.9,0.820513,0.25,0.75,0,1,1,1,0,1,0.764706,0.785714,1,0.857143,0,0.5] precision 0.817931 [1,1,0.8,0.909091,1,1,0.9,1,0,1,0.809524,1,0,0.5,0.75,0.5,0.5,0.666667,0.75,0.785714,1,1,0.833333,0,1] precision 0.866354 [1,0.333333,1,1,1,0.666667,0.888889,1,1,0.9,0.833333,1,1,0,1,0.625,1,0,0.666667,0.923077,1,1,1,0,0.5] precision 0.844681 [0.75,0,1,1,1,1,0.870968,1,0.333333,1,0.818182,1,1,1,1,0.6,0.5,0.5,1,0.714286,0.909091,1,1,0,0.5] precision 0.846404 [1,0.5,1,1,1,1,0.882353,1,1,0.888889,0.891892,0.6,1,0,1,0.2,1,1,0.75,0.916667,0.846154,1,0.5,0,1] precision 0.850205 [1,0.4,1,0.769231,1,0.5,0.878788,0.666667,0,0.9,0.875,1,1,0.5,1,1,1,0.666667,1,0.785714,1,0.5,0.75,0,1] precision 0.900503 [1,1,0.8,0.909091,1,1,0.882353,1,0.5,0.9,0.9,1,1,1,1,1,0.5,1,1,0.8125,1,1,1,0,1] precision 0.885674 [1,0.666667,1,0.818182,1,1,0.837838,1,1,1,0.853659,1,1,1,1,1,1,0,1,0.928571,0.909091,1,1,0,1] precision 0.832958 [1,0.5,1,1,1,0.666667,0.842105,1,1,1,0.846154,1,1,0,1,0.571429,0.666667,0,0.75,0.733333,0.916667,0.5,0.8,0,1] precision 0.840405 [1,1,1,0.909091,1,0.666667,0.842105,0.666667,0,1,0.772727,1,1,0.5,1,1,1,1,1,0.769231,1,1,0.6,0,1] precision 0.871588 [1,0,1,0.909091,1,1,0.857143,1,1,1,0.878049,1,0.75,0.5,1,0.75,1,1,1,0.769231,1,1,0.8,0,1] precision 0.827252 [1,0.666667,1,0.909091,0.8,1,0.882353,1,0.5,1,0.74359,1,0.8,0.5,1,0.6,0.5,0,0.75,0.916667,1,1,0.714286,0,1] precision 0.867282 [1,1,0.714286,1,1,1,0.9375,1,1,1,0.875,1,1,0,0.666667,0.75,0.666667,1,1,0.6875,0.909091,0.333333,0.714286,0,1] precision 0.844173 [1,1,1,0.9,1,1,0.882353,1,0.666667,1,0.795455,1,0.833333,0,1,1,1,0,1,0.583333,1,1,0.75,0,1] precision 0.90954 [1,0.333333,0.833333,1,1,1,0.914286,1,0.666667,1,0.897436,1,1,1,1,0.571429,0.666667,0.5,0.75,1,1,1,1,0,1] precision 0.886725 [1,0.666667,0.833333,1,1,0.5,0.868421,1,1,0.9,0.897436,1,1,1,1,0.666667,0.5,1,1,0.9,1,0,0.8,0,1] precision 0.888842 [1,0.5,1,1,1,1,0.794872,1,1,1,0.871795,1,0.8,1,1,1,1,1,1,0.909091,1,0.666667,0.833333,0,1] precision 0.826081 [1,1,1,0.833333,0.8,1,0.864865,1,1,0.9,0.755556,1,0.666667,0,1,0.75,1,0.5,1,0.875,1,0.666667,0.833333,0,0] precision 0.824992 [0.666667,0.333333,1,0.909091,0.8,1,0.861111,0.666667,0,1,0.846154,1,1,0,0.75,0.4,1,1,1,0.857143,0.916667,1,0.6,0,1] precision 0.827784 [1,0,0.833333,1,1,0.666667,0.852941,1,0,1,0.842105,0.75,0.666667,1,1,0.666667,1,0.5,1,0.642857,0.909091,1,0.833333,0,1] precision 0.854005 [1,1,1,1,0.75,1,0.823529,1,0,1,0.85,0.666667,0.75,1,0.5,1,1,0.666667,1,0.769231,1,1,0.714286,0,1] precision 0.872713 [1,0,1,1,1,1,1,0.666667,1,0.9,0.833333,1,0.75,0,1,0.666667,1,0.333333,1,0.846154,0.909091,1,0.833333,0,1] precision 0.829883 [0.75,0.5,1,0.9,1,1,0.789474,1,0,0.9,0.826087,1,0.666667,1,1,0.8,1,0,0.8,0.857143,1,1,1,0,1] precision 0.889752 [1,1,1,1,1,1,0.885714,1,0,1,0.883721,1,1,0,1,0.6,1,0.5,1,0.777778,1,1,0.833333,0,1] precision 0.901494 [1,1,1,0.909091,1,1,0.9375,1,1,1,0.837209,1,0.75,1,1,1,1,1,1,0.75,1,1,0.857143,0,1] precision 0.859699 [1,0,0.8,1,1,1,0.909091,1,1,1,0.837209,1,0.6,0,0.75,0.75,1,0.5,0.5,0.916667,1,0.5,0.75,0,1] precision 0.868166 [1,1,0.833333,1,1,0.5,0.96875,1,1,1,0.829268,1,1,0,1,0.666667,1,0.5,0.8,0.8125,0.888889,1,0.833333,0,0.5] precision 0.891919 [1,1,1,1,1,1,0.903226,1,0.666667,1,0.853659,1,1,1,1,1,1,1,1,0.666667,0.9,1,0.833333,0,1] precision 0.877051 [1,1,1,0.909091,1,1,0.875,1,0.666667,1,0.853659,1,1,0,0.666667,0.6,1,1,1,0.764706,1,1,1,0,1] precision 0.920731 [0.75,1,1,1,1,0.666667,0.941176,1,1,1,0.857143,1,1,0.333333,1,1,1,1,1,0.909091,1,1,1,0,1] precision 0.866627 [1,0.5,1,1,1,0.666667,0.9375,1,0.5,0.9,0.85,1,1,0.666667,0.5,1,1,0,1,0.764706,1,0,1,0,0] precision 0.884721 [1,0.666667,1,0.909091,1,1,0.969697,1,1,1,0.818182,1,1,0,1,0.5,1,1,1,0.833333,1,1,0.666667,0.5,1] precision 0.863 [1,1,1,0.909091,0.8,1,0.878788,1,0.333333,1,0.894737,1,0.75,1,1,0.5,1,0,1,0.866667,1,1,0.571429,0,1] precision 0.848136 [1,1,1,0.9,1,0.5,1,1,1,0.818182,0.885714,0.5,0.666667,0.5,0.75,0,1,0,0.75,0.777778,1,1,0.5,1,1] precision 0.853368 [1,0.5,0.833333,0.909091,1,1,0.935484,1,1,1,0.804878,1,0.666667,1,1,0.666667,0,0.5,1,0.785714,1,0.5,0.625,0.5,1] precision 0.818103 [0.75,1,1,0.909091,1,1,0.875,1,0.5,1,0.790698,1,0.5,0,1,0.666667,1,0,1,0.642857,1,1,0.666667,0,1] precision 0.855224 [1,0.5,1,1,1,1,0.857143,1,0.5,0.9,0.883721,1,0.75,0,0.5,1,1,0,1,0.916667,1,0.666667,0.625,0,1] precision 0.844197 [1,0.666667,0.8,1,1,0.5,0.805556,1,1,0.818182,0.871795,1,1,1,1,0.4,1,1,1,0.785714,1,1,0.6,0,1] precision 0.837416 [1,0,0.8,0.9,1,0.666667,0.8,1,0,1,0.944444,1,0.5,1,1,1,1,1,1,0.666667,1,1,0.5,0,1] precision 0.914669 [1,1,1,1,1,1,0.888889,1,1,0.818182,1,1,1,0,1,0.8,0.5,0,1,0.866667,1,1,0.8,0.285714,1] precision 0.893502 [1,0.5,1,0.909091,1,1,0.970588,1,1,1,0.705882,1,1,1,1,0.8,1,1,1,1,0.916667,1,1,0,1] precision 0.820702 [0.75,0,1,1,1,1,0.84375,1,0,1,0.833333,1,0.75,0,0.666667,0.8,1,0,1,0.75,0.833333,1,0.857143,0,1] precision 0.836617 [1,1,1,1,1,1,0.84375,1,1,1,0.818182,0.666667,1,1,0.75,0,1,0.5,1,0.769231,0.916667,1,0.571429,0.5,1] precision 0.85038 [1,0.5,0.833333,1,1,0,0.8,1,0,0.9,0.853659,1,0.75,1,1,0.8,1,1,1,0.888889,1,1,0.8,0.333333,0] precision 0.839446 [1,1,1,1,1,1,0.8,1,0.25,0.9,0.9,1,0.75,1,1,0.571429,1,0,1,0.65,0.909091,1,0.666667,1,0] precision 0.875639 [1,0,0.833333,1,1,1,0.888889,1,0.5,1,0.818182,1,0.75,1,1,0.75,1,1,1,0.916667,1,1,0.833333,0,1] precision 0.822504 [1,0,1,0.833333,1,1,0.857143,1,1,1,0.891892,0.75,0.5,1,1,0.4,1,0,1,0.666667,1,1,0.5,0,1] precision 0.90216 [1,1,1,1,1,1,0.941176,1,1,1,0.857143,0.75,1,0,1,0.75,0,1,1,0.928571,0.916667,1,0.857143,0,1] precision 0.858473 [1,0.333333,1,1,1,1,0.825,1,1,1,0.871795,1,0.5,0,1,0.5,1,0,1,1,1,1,0.75,0,0.5] precision 0.876568 [1,0.333333,0.833333,1,1,1,0.935484,1,0.5,1,0.897436,1,1,1,0.6,1,1,0,1,0.785714,0.909091,0.666667,0.75,0,1] precision 0.836482 [1,0.25,1,0.909091,1,1,0.810811,1,1,1,0.897436,1,0.5,0,1,0.5,1,0,0.6,1,0.9,0.666667,0.555556,0.5,1] precision 0.82406 [1,0.5,0.833333,1,1,1,0.842105,1,1,0.9,0.804878,1,1,0,0.5,0.8,1,0,1,0.666667,0.9,1,0.8,0,1] precision 0.872179 [1,1,0.8,1,0.8,1,0.942857,1,1,1,0.828571,1,0.666667,1,1,0.714286,0.5,0.5,1,0.846154,0.909091,1,0.666667,0,1] precision 0.882534 [1,0.5,1,0.833333,1,0.666667,0.909091,0.666667,0,1,0.894737,1,1,1,0.666667,0.666667,1,1,1,0.846154,1,1,1,0,1] precision 0.836315 [1,0.333333,0.833333,1,1,0,0.837838,0.666667,1,1,0.853659,0.75,0.666667,0,0.5,1,0.5,0.5,1,0.777778,1,1,0.714286,0,1] precision 0.868438 [1,1,1,1,1,1,0.8,1,0,1,0.897436,1,1,1,0.75,0.5,1,1,1,0.846154,0.909091,1,0.5,1,1] precision 0.864741 [1,1,1,1,1,1,0.820513,0.666667,0,1,0.894737,1,0.666667,1,0.5,0.75,1,0,1,0.916667,1,1,0.666667,0.333333,1] precision 0.87583 [1,0.5,1,1,1,1,0.914286,1,1,1,0.85,1,0.75,0,0.75,0.571429,0.5,1,1,0.8,1,0.666667,1,0,1] precision 0.903882 [1,0,1,1,1,1,0.939394,1,0.5,1,0.857143,0.75,0.8,1,1,0.8,1,1,1,0.916667,1,1,0.857143,0.5,1] precision 0.84486 [1,0.5,1,0.833333,1,1,0.823529,1,1,0.9,0.871795,1,0.8,1,0.75,1,1,0,0.666667,0.714286,1,1,0.714286,0.5,1] precision 0.857484 [1,1,0.8,0.875,1,1,0.90625,1,0.5,1,0.809524,1,1,0,1,0.5,0.666667,1,0.8,0.857143,1,1,0.833333,0,1] precision 0.843923 [1,1,1,0.909091,1,1,0.846154,1,0,1,0.8,0.666667,0.8,0,1,0.666667,1,1,1,1,1,0.666667,0.6,0,0.5] precision 0.886208 [1,0,1,1,1,0,0.861111,1,0.5,0.888889,0.878049,1,0.571429,1,1,1,1,1,1,0.923077,1,1,1,0.5,0] precision 0.878651 [1,0.333333,1,1,1,1,0.911765,1,0.5,1,0.868421,1,0.666667,0,1,0.666667,1,1,1,0.928571,0.909091,1,0.833333,0,1] precision 0.865339 [1,0.666667,1,0.9,1,0.666667,0.888889,1,1,1,0.857143,1,1,0,1,0.666667,1,1,1,0.75,0.9,0.666667,0.833333,0,1] precision 0.862576 [1,0,1,1,1,0.4,0.861111,1,1,1,0.875,0.666667,0.75,1,0.5,1,1,1,1,0.9,0.833333,1,0.8,0,0.5] precision 0.866521 [1,1,1,0.9,1,1,0.909091,1,0,0.888889,0.853659,0.666667,1,1,0.75,0.5,1,1,1,0.823529,1,1,0.833333,0.5,0] precision 0.87406 [1,1,1,1,1,1,0.878788,1,0,0.888889,0.9,1,1,0.5,0.75,1,1,0,1,0.647059,1,1,1,0,1] precision 0.888609 [1,0.5,1,0.909091,1,1,0.939394,1,1,1,0.894737,0.666667,0.75,0.666667,1,0.8,1,0.5,1,0.769231,0.909091,1,1,0,1] precision 0.879654 [1,1,1,0.909091,1,1,0.882353,1,1,1,0.837209,1,0.8,1,1,0.5,1,0.5,1,0.916667,0.909091,0.666667,1,0,1] precision 0.886263 [0.75,1,1,1,1,0.5,0.861111,1,1,1,0.921053,1,1,0,0.666667,0.833333,1,0,1,0.8,1,1,0.833333,0.5,1] precision 0.870018 [1,0.5,1,0.909091,1,0.5,0.928571,1,1,1,0.897436,0.75,0.666667,1,1,0.5,1,1,1,0.647059,1,1,0.714286,0,1] precision 0.879266 [1,1,1,0.909091,1,1,0.878788,1,0.333333,1,0.921053,1,0.75,1,1,0.8,1,0,1,0.692308,0.916667,1,0.8,0.333333,1] precision 0.852384 [1,0,1,1,0.666667,1,0.909091,1,1,1,0.837209,1,0.5,0,1,0.8,1,0,1,0.714286,1,0.666667,1,0.333333,1] precision 0.877695 [0.666667,1,1,0.9,1,1,0.970588,1,1,1,0.878049,0,0.571429,1,0.666667,0.75,1,0,1,1,1,0.666667,0.833333,0,0.5] precision 0.85047 [1,1,1,1,0.75,1,0.903226,1,0,0.75,0.825,1,1,0,1,0.571429,1,0,1,0.722222,1,1,1,1,0] precision 0.846637 [1,0,1,0.909091,1,1,0.965517,1,0.666667,1,0.820513,1,0.6,0,1,0.333333,0.666667,1,1,0.631579,0.846154,0.5,1,1,1] predictive_accuracy 0.861446 predictive_accuracy 0.86747 predictive_accuracy 0.855422 predictive_accuracy 0.891566 predictive_accuracy 0.873494 predictive_accuracy 0.837349 predictive_accuracy 0.909639 predictive_accuracy 0.831325 predictive_accuracy 0.843373 predictive_accuracy 0.89759 predictive_accuracy 0.879518 predictive_accuracy 0.86747 predictive_accuracy 0.855422 predictive_accuracy 0.861446 predictive_accuracy 0.849398 predictive_accuracy 0.861446 predictive_accuracy 0.837349 predictive_accuracy 0.885542 predictive_accuracy 0.879518 predictive_accuracy 0.915663 predictive_accuracy 0.855422 predictive_accuracy 0.885542 predictive_accuracy 0.873494 predictive_accuracy 0.837349 predictive_accuracy 0.831325 predictive_accuracy 0.855422 predictive_accuracy 0.849398 predictive_accuracy 0.855422 predictive_accuracy 0.843373 predictive_accuracy 0.903614 predictive_accuracy 0.891566 predictive_accuracy 0.843373 predictive_accuracy 0.849398 predictive_accuracy 0.885542 predictive_accuracy 0.831325 predictive_accuracy 0.86747 predictive_accuracy 0.855422 predictive_accuracy 0.885542 predictive_accuracy 0.885542 predictive_accuracy 0.879518 predictive_accuracy 0.843373 predictive_accuracy 0.837349 predictive_accuracy 0.831325 predictive_accuracy 0.861446 predictive_accuracy 0.891566 predictive_accuracy 0.855422 predictive_accuracy 0.89759 predictive_accuracy 0.89759 predictive_accuracy 0.86747 predictive_accuracy 0.879518 predictive_accuracy 0.891566 predictive_accuracy 0.879518 predictive_accuracy 0.921687 predictive_accuracy 0.86747 predictive_accuracy 0.891566 predictive_accuracy 0.873494 predictive_accuracy 0.861446 predictive_accuracy 0.855422 predictive_accuracy 0.831325 predictive_accuracy 0.873494 predictive_accuracy 0.837349 predictive_accuracy 0.843373 predictive_accuracy 0.89759 predictive_accuracy 0.873494 predictive_accuracy 0.855422 predictive_accuracy 0.855422 predictive_accuracy 0.861446 predictive_accuracy 0.831325 predictive_accuracy 0.891566 predictive_accuracy 0.831325 predictive_accuracy 0.915152 predictive_accuracy 0.854545 predictive_accuracy 0.878788 predictive_accuracy 0.836364 predictive_accuracy 0.848485 predictive_accuracy 0.866667 predictive_accuracy 0.884848 predictive_accuracy 0.848485 predictive_accuracy 0.878788 predictive_accuracy 0.872727 predictive_accuracy 0.872727 predictive_accuracy 0.909091 predictive_accuracy 0.842424 predictive_accuracy 0.872727 predictive_accuracy 0.860606 predictive_accuracy 0.890909 predictive_accuracy 0.89697 predictive_accuracy 0.860606 predictive_accuracy 0.860606 predictive_accuracy 0.884848 predictive_accuracy 0.890909 predictive_accuracy 0.890909 predictive_accuracy 0.878788 predictive_accuracy 0.89697 predictive_accuracy 0.866667 predictive_accuracy 0.878788 predictive_accuracy 0.866667 predictive_accuracy 0.90303 predictive_accuracy 0.848485 predictive_accuracy 0.830303 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 recall 0.861446 [0.5,1,1,1,1,1,0.939394,1,0,1,0.918919,0.333333,0.5,1,0.5,0.8,1,0.5,1,0.769231,1,1,0.666667,0,1] recall 0.86747 [1,1,1,1,1,0,0.939394,1,0.5,1,0.947368,0.666667,0.8,0,1,0.6,1,0.5,1,0.846154,1,0.5,0.5,0,0] recall 0.855422 [1,0.5,1,1,1,1,0.939394,1,0.5,1,0.945946,0.666667,0.5,0,0.5,0.2,1,0,1,0.785714,1,1,0.666667,0,1] recall 0.891566 [1,1,0.8,1,1,0.5,0.939394,1,0,1,0.972973,1,1,0,0.666667,0.8,1,0.5,1,0.785714,1,0.5,0.833333,0,1] recall 0.873494 [1,1,1,1,1,1,0.848485,0.5,0.5,1,0.921053,0.333333,0.8,1,1,0.6,1,0.5,1,0.923077,1,1,0.666667,0,1] recall 0.837349 [0.75,0.5,0.8,1,1,1,0.878788,1,0.5,1,0.891892,0.666667,0.75,0,0.666667,0.8,1,1,1,0.642857,0.909091,1,0.666667,0,1] recall 0.909639 [0.666667,0.5,1,1,1,1,0.939394,1,1,1,0.972973,1,0.75,1,0.666667,0.8,1,0,0.75,0.785714,1,1,1,0,1] recall 0.831325 [0.666667,1,1,1,1,0.5,0.909091,1,1,1,0.921053,0.666667,0.8,0,0.333333,0.8,0,0,1,0.615385,0.909091,1,0.5,0.5,1] recall 0.843373 [0.666667,0,1,1,1,1,0.939394,1,0.5,1,0.921053,0.666667,0.75,0,1,0.4,1,0,1,0.615385,0.909091,1,0.833333,0.5,1] recall 0.89759 [0.75,0.5,1,1,1,1,1,1,1,1,0.972973,1,0.25,0,1,0.8,1,0,1,0.857143,1,1,0.333333,0,1] recall 0.879518 [1,0,1,1,1,1,0.939394,1,1,1,0.972973,0.333333,0.5,0.5,1,0.4,1,0.5,1,0.846154,1,1,0.5,0.5,1] recall 0.86747 [0.666667,0.5,1,1,0.75,1,0.969697,1,0,1,0.918919,0.75,0.8,0.5,0.5,0.8,1,0.5,0.666667,0.846154,1,0.5,0.666667,0,1] recall 0.855422 [1,0.5,0.8,1,1,0.5,0.939394,1,0,1,0.864865,0.666667,0.5,0,1,0.8,1,0.5,1,0.785714,1,1,0.833333,0,0] recall 0.861446 [1,0.5,1,1,1,1,0.909091,0.5,1,1,0.945946,0.666667,0.25,1,0.333333,0.8,1,0,0.666667,0.785714,1,1,0.833333,0,1] recall 0.849398 [1,0,1,1,1,0.5,0.909091,1,1,1,0.945946,1,0.6,0.5,0.333333,0.2,1,0,1,0.785714,1,0.5,1,0,0] recall 0.861446 [1,1,0.8,1,1,0.5,0.939394,1,1,1,0.918919,0.666667,1,0,0.666667,0.2,0,0,1,0.857143,1,0.5,0.833333,0,1] recall 0.837349 [1,0.5,1,1,1,1,0.848485,1,0.5,1,0.864865,0.666667,1,1,0.333333,0.8,1,1,1,0.769231,0.818182,0.5,0.5,0,1] recall 0.885542 [1,0,0.75,1,1,1,0.909091,1,0,1,0.918919,1,1,0.5,1,0.8,1,1,1,0.846154,1,1,0.666667,0,1] recall 0.879518 [1,1,1,0.8,1,1,0.909091,1,1,1,0.891892,0.666667,1,0,0.5,0.6,1,0.5,1,1,0.909091,1,0.833333,0,1] recall 0.915663 [1,0.5,1,1,1,1,0.969697,1,0.5,1,0.972973,0.666667,1,1,0.666667,1,1,1,1,0.714286,1,1,0.666667,0,1] recall 0.855422 [0.666667,0.5,1,1,1,1,0.939394,1,0.5,1,0.918919,0.666667,0.75,0,0.5,0.4,1,0.5,0.666667,0.846154,0.909091,0.5,0.666667,1,1] recall 0.885542 [1,0.5,1,0.9,1,1,0.818182,1,0.5,1,0.972973,1,1,1,1,0.8,1,0.5,1,0.857143,0.909091,1,0.5,0,1] recall 0.873494 [1,0.5,0.8,1,1,1,0.969697,1,1,1,0.945946,1,0.75,0,0.666667,0.8,1,0.5,1,0.714286,0.909091,1,0.5,0,1] recall 0.837349 [1,0.5,1,0.8,1,0,0.848485,1,1,1,0.864865,0.333333,0.75,0,0.666667,0.4,1,0,1,0.928571,1,1,1,0,1] recall 0.831325 [0.666667,0.5,1,1,1,1,0.818182,1,0,1,0.918919,1,0,0.5,1,0.4,1,1,1,0.785714,1,0.5,0.833333,0,1] recall 0.855422 [0.666667,0.5,0.8,1,1,1,0.969697,1,0.5,1,0.945946,0.666667,0.4,0,0.666667,1,1,0,0.666667,0.857143,1,1,0.333333,0,1] recall 0.849398 [1,0,1,1,1,1,0.818182,1,0.5,1,0.972973,0.25,0.75,1,1,0.6,1,0.5,1,0.769231,0.909091,1,0.666667,0,1] recall 0.855422 [1,0.5,1,1,1,1,0.909091,1,0.5,1,0.891892,1,0.75,0,0.666667,0.2,1,1,1,0.846154,1,1,0.5,0,1] recall 0.843373 [1,1,0.6,1,1,1,0.878788,1,0,1,0.945946,0.75,0.4,0.5,1,0.6,1,1,1,0.785714,0.909091,1,0.5,0,1] recall 0.903614 [1,0.5,0.8,1,1,1,0.909091,1,0.5,1,0.972973,0.666667,0.8,1,1,0.8,1,0.5,1,0.928571,1,0.5,0.833333,0,1] recall 0.891566 [1,1,0.6,1,1,1,0.939394,1,0.5,1,0.945946,0.666667,1,0.5,0.333333,0.6,1,0,1,0.928571,1,1,1,0,1] recall 0.843373 [1,0.5,1,0.777778,1,1,0.969697,1,0.5,1,0.891892,0.666667,0.5,0,0.333333,0.8,1,0,0.75,0.785714,1,1,0.666667,0,1] recall 0.849398 [1,1,0.8,1,1,1,0.969697,1,0,1,0.918919,0.666667,0.75,0.5,0.333333,0.2,1,1,1,0.714286,1,1,0.5,0,1] recall 0.885542 [1,0,1,1,1,1,0.909091,1,0.5,1,0.972973,1,0.75,1,1,0.6,1,1,1,0.714286,0.909091,1,0.666667,0,1] recall 0.831325 [1,1,0.5,1,1,0.5,0.909091,1,0.5,1,0.783784,0.666667,1,0.5,1,0.6,1,0,1,0.785714,0.909091,1,0.833333,0,1] recall 0.86747 [1,0.5,1,0.9,1,1,0.909091,1,0.5,1,0.945946,0.666667,1,0,1,0.6,1,0.5,0.5,0.785714,1,0.5,0.833333,0,1] recall 0.855422 [1,0.5,0.6,0.9,1,1,0.909091,1,1,1,0.945946,1,1,0,0.666667,0.4,1,0,1,0.538462,1,1,1,0,1] recall 0.885542 [1,0.5,1,0.8,1,1,0.969697,1,1,1,0.945946,1,0.25,0.5,1,0.8,1,0.5,1,0.785714,1,1,0.5,0,1] recall 0.885542 [1,1,1,1,1,1,1,1,1,1,0.945946,0.333333,0.8,0.5,0.333333,0.8,1,1,1,0.642857,1,0,0.666667,0,1] recall 0.879518 [1,1,1,1,1,1,0.939394,1,0.5,1,0.918919,0.333333,0.8,1,0.5,0.6,1,0.5,1,0.714286,1,1,0.833333,0,1] recall 0.843373 [1,0.5,0.75,1,1,0.5,0.969697,1,1,1,0.918919,1,0.5,0,0.666667,0.6,1,0.5,1,0.5,1,1,0.833333,0,0] recall 0.837349 [0.666667,0.5,0.8,1,1,1,0.939394,1,0,1,0.891892,0.333333,0.5,0,1,0.4,1,0.5,1,0.857143,1,1,0.5,0,1] recall 0.831325 [0.666667,0,1,0.9,1,1,0.878788,1,0,1,0.864865,1,0.5,0.5,1,0.8,1,0.5,1,0.692308,0.909091,0.5,0.833333,0,1] recall 0.861446 [1,0.5,1,1,1,1,0.848485,1,0,1,0.918919,0.666667,0.75,1,0.333333,0.8,1,1,1,0.714286,0.909091,1,0.833333,0,1] recall 0.891566 [1,0,1,1,1,0.5,0.939394,1,1,1,0.945946,1,0.75,0,1,0.8,1,1,0.75,0.785714,1,1,0.833333,0,1] recall 0.855422 [1,0.5,0.8,1,1,1,0.909091,1,0,1,1,0.666667,0.5,1,1,0.8,1,0,1,0.428571,1,1,0.833333,0,1] recall 0.89759 [0.333333,1,1,1,1,1,0.939394,1,0,1,1,0.666667,0.6,0,0.666667,0.6,1,0.5,0.666667,1,1,0.5,0.833333,0,1] recall 0.89759 [1,0.5,0.8,1,1,1,0.909091,1,0.5,1,0.972973,0.666667,0.75,1,0.666667,0.6,1,0.5,1,0.857143,1,1,1,0,1] recall 0.86747 [1,0,0.8,0.9,1,0.5,0.909091,1,0.5,1,0.972973,0.666667,0.75,0,1,0.6,1,1,0.333333,0.785714,0.909091,1,1,0,1] recall 0.879518 [1,1,1,0.9,1,0.5,0.939394,1,1,1,0.918919,0.666667,1,0,1,0.4,1,0.5,1,0.928571,0.8,1,0.833333,0,1] recall 0.891566 [1,0.5,1,1,1,1,0.848485,1,1,1,0.945946,1,0.75,1,1,0.6,1,0.5,1,0.857143,0.9,1,0.833333,0,1] recall 0.879518 [1,1,0.8,1,1,1,0.848485,1,1,1,0.945946,1,0.75,0,0.666667,0.6,1,0.5,1,0.928571,1,1,0.5,0,1] recall 0.921687 [1,0.5,1,1,1,1,0.969697,1,1,1,0.972973,0.666667,0.75,0.5,1,0.8,1,1,1,0.769231,0.909091,1,1,0,1] recall 0.86747 [0.75,0.5,1,1,1,1,0.909091,1,0.5,1,0.918919,1,0.75,1,1,0.4,1,0,1,0.928571,1,0,0.666667,0,0] recall 0.891566 [1,1,0.8,1,1,1,0.969697,1,0.5,1,0.972973,1,0.75,0,1,0.4,1,1,1,0.714286,0.9,1,0.666667,0.5,1] recall 0.873494 [1,0.5,1,1,1,1,0.878788,1,0.5,1,0.918919,1,0.75,1,0.5,0.4,0.5,0,1,1,1,1,0.666667,0,1] recall 0.861446 [1,1,0.8,1,1,1,0.939394,1,0.5,1,0.837838,0.333333,0.5,1,1,0,0.5,0,1,1,1,1,1,0.5,1] recall 0.855422 [1,0.5,1,1,1,1,0.878788,1,0.5,1,0.891892,1,0.5,1,1,0.4,0,0.5,1,0.785714,0.9,0.5,0.833333,0.5,1] recall 0.831325 [1,1,1,1,1,0.5,0.848485,0.5,1,1,0.918919,0.666667,0.25,0,0.666667,0.8,1,0,1,0.642857,1,1,0.666667,0,1] recall 0.873494 [1,0.5,1,1,1,1,0.909091,1,0.5,1,1,1,0.75,0,0.5,0.4,1,0,0.666667,0.846154,0.9,1,0.833333,0,1] recall 0.837349 [1,1,0.8,0.9,0.75,0.5,0.878788,1,0.5,1,0.918919,1,0.75,1,0.666667,0.4,1,0.5,1,0.785714,1,0.5,0.5,0,1] recall 0.843373 [1,0,0.8,0.9,1,1,0.848485,1,0,1,0.918919,1,0.5,1,1,0.4,1,0.5,1,0.714286,1,1,1,0,1] recall 0.89759 [1,0.5,1,0.9,1,0.5,0.969697,1,0.5,1,0.894737,0.75,1,0,0.666667,0.8,1,0,1,1,1,1,0.666667,1,1] recall 0.873494 [0.666667,0.5,0.6,1,1,1,1,1,0.5,1,0.972973,0.5,0.75,0.5,1,0.8,1,1,1,0.571429,1,1,0.666667,0,1] recall 0.855422 [1,0,1,0.9,1,1,0.818182,1,0,1,0.945946,0.333333,0.75,0,1,0.8,1,0,1,0.857143,1,1,1,0,1] recall 0.855422 [1,1,1,0.9,1,1,0.818182,1,0.5,1,0.972973,0.666667,0.75,0.5,1,0,1,0.5,1,0.769231,1,1,0.666667,0.5,1] recall 0.861446 [1,0.5,1,0.9,1,0,0.969697,1,0,1,0.945946,1,0.75,0.5,0.5,0.8,1,0.5,1,0.571429,1,1,0.666667,0.5,0] recall 0.831325 [0.666667,0.5,1,1,1,1,0.727273,1,0.5,1,0.972973,0.75,0.75,1,0.333333,0.8,1,0,0.666667,0.928571,1,1,0.333333,0.5,0] recall 0.891566 [0.666667,0,1,0.9,1,1,0.969697,1,0.5,1,0.972973,1,0.75,1,0.666667,0.6,1,0.5,1,0.785714,1,1,0.833333,0,1] recall 0.831325 [1,0,0.75,1,1,0.5,0.909091,1,1,1,0.891892,1,0.5,0.5,0.333333,0.4,1,0,1,0.769231,1,0.5,0.833333,0,1] recall 0.915152 [1,1,1,1,1,1,0.969697,1,0.5,1,0.947368,1,0.8,0,0.333333,0.6,0,1,1,0.928571,1,1,1,0,1] recall 0.854545 [1,0.5,1,0.9,1,1,1,1,1,1,0.918919,0.666667,0.5,0,1,0.4,1,0,0.666667,0.642857,0.8,1,1,0,1] recall 0.878788 [1,0.5,1,0.9,1,1,0.878788,1,0.5,1,0.945946,1,0.6,1,1,0.8,1,0,0.666667,0.785714,1,1,1,0,1] recall 0.836364 [1,0.5,1,1,1,1,0.909091,1,0.5,1,0.945946,1,0.2,0,0.5,0.2,1,0,1,0.615385,0.9,1,0.833333,0.5,1] recall 0.848485 [1,0.5,1,0.9,1,1,0.969697,1,1,1,0.891892,1,0.5,0,0.5,0.8,1,0,1,0.571429,0.9,1,0.666667,0,1] recall 0.866667 [1,0.5,1,0.9,1,1,1,1,1,0.888889,0.783784,1,0.5,0.5,1,1,1,0.5,1,0.846154,0.909091,1,0.666667,0,1] recall 0.884848 [1,1,0.8,1,1,1,0.909091,1,0,1,0.918919,1,0.5,1,1,0.8,1,0.5,1,0.785714,1,1,0.833333,0,1] recall 0.848485 [1,0.5,1,0.9,1,0,0.939394,1,1,1,0.945946,1,0.5,0,0.5,0.4,1,0.5,1,0.5,1,1,0.833333,0,1] recall 0.878788 [1,0.5,1,1,1,1,0.969697,1,0,1,0.945946,1,0.5,1,1,0.2,1,0.5,1,0.785714,1,1,0.5,0.5,1] recall 0.872727 [1,0.5,1,1,1,1,0.969697,1,0,1,0.918919,1,0.5,0.5,0.333333,0.6,1,0,0.666667,0.846154,1,1,0.666667,1,1] recall 0.872727 [0.666667,0.5,1,0.9,1,1,0.969697,1,0.5,1,0.918919,1,0.6,0,1,0.8,1,1,0.75,0.857143,0.909091,1,0.5,0,1] recall 0.909091 [1,0,1,1,1,1,0.939394,1,0.5,1,0.972973,1,1,0.5,0.333333,0.8,1,1,1,0.785714,0.9,1,1,0.5,1] recall 0.842424 [0.666667,0.5,0.8,1,1,1,0.848485,0.5,0.5,1,0.918919,1,0.8,1,1,0.4,1,0,0.666667,0.714286,1,1,0.833333,0.5,1] recall 0.872727 [1,0.5,1,0.7,1,1,0.878788,1,1,1,0.918919,1,0.8,0,1,0.4,1,1,1,0.923077,1,1,0.833333,0,1] recall 0.860606 [0.666667,0.5,0.8,1,1,1,1,1,0,1,0.972973,0.5,1,0,0.666667,0.4,1,0.5,0.666667,0.769231,1,1,0.5,0,1] recall 0.890909 [0.666667,0,1,1,1,0,0.939394,1,0.5,1,0.972973,0.75,1,0.5,0.666667,0.8,1,1,1,0.857143,0.909091,1,0.833333,0.5,0] recall 0.89697 [1,0.5,1,1,1,1,0.939394,1,0.5,1,0.891892,1,0.5,0,1,0.8,1,1,1,0.928571,1,1,0.833333,0,1] recall 0.860606 [1,1,1,0.9,1,1,0.969697,1,0.5,1,0.810811,1,0.25,0,1,0.8,1,1,0.666667,0.857143,0.818182,1,0.833333,0,1] recall 0.860606 [0.666667,0,1,1,1,1,0.939394,1,1,1,0.945946,0.666667,0.75,1,0.666667,0.6,1,0.5,1,0.642857,1,0.5,0.666667,0,1] recall 0.884848 [1,1,0.8,0.9,1,1,0.909091,1,0,1,0.945946,0.666667,1,1,1,0.2,1,0.5,1,1,0.909091,1,0.833333,0.5,0] recall 0.890909 [1,0.5,1,1,1,1,0.878788,1,0,1,0.972973,0.75,1,1,1,1,1,0,0.75,0.785714,1,1,0.833333,0,1] recall 0.890909 [1,0.5,1,1,1,1,0.939394,1,1,1,0.918919,0.666667,0.75,1,0.666667,0.8,1,0.5,1,0.769231,1,1,0.666667,0,1] recall 0.878788 [1,0.5,1,1,1,1,0.909091,1,0.5,1,0.972973,0.333333,1,1,1,0.6,1,0.5,1,0.785714,1,1,0.333333,0,1] recall 0.89697 [1,1,1,1,1,0.5,0.939394,1,0.5,1,0.921053,0.666667,0.75,0,0.666667,1,1,0,1,0.923077,0.9,1,0.833333,0.5,1] recall 0.866667 [1,1,0.8,1,1,1,0.787879,1,1,1,0.945946,1,0.5,1,1,0.4,1,0.5,1,0.846154,0.909091,1,0.833333,0,1] recall 0.878788 [1,0.5,1,1,1,1,0.878788,1,0.5,1,0.945946,1,0.75,1,0.666667,0.8,1,0,1,0.642857,1,1,0.666667,0.5,1] recall 0.866667 [0.333333,0,1,1,1,1,0.909091,1,1,1,0.972973,1,0.5,0,0.666667,0.8,1,0,0.75,0.714286,1,1,0.833333,0.5,1] recall 0.90303 [0.666667,0.5,0.8,1,1,1,1,1,0.5,1,0.972973,0,1,1,1,0.6,1,0,0.666667,1,1,1,0.833333,0,1] recall 0.848485 [1,1,1,0.9,0.75,0.5,0.848485,1,0,1,0.891892,1,0.75,0,0.666667,0.8,1,0,0.666667,1,1,1,0.666667,0.5,0] recall 0.830303 [0.666667,0,0.8,1,1,1,0.848485,1,1,1,0.864865,0.666667,0.75,0,0.666667,0.4,1,0.5,0.666667,0.857143,1,1,0.666667,0.5,1] relative_absolute_error 0.186827 relative_absolute_error 0.17106 relative_absolute_error 0.202267 relative_absolute_error 0.15865 relative_absolute_error 0.156616 relative_absolute_error 0.186921 relative_absolute_error 0.1437 relative_absolute_error 0.200981 relative_absolute_error 0.198637 relative_absolute_error 0.140383 relative_absolute_error 0.159496 relative_absolute_error 0.172735 relative_absolute_error 0.184104 relative_absolute_error 0.180689 relative_absolute_error 0.184935 relative_absolute_error 0.169307 relative_absolute_error 0.203657 relative_absolute_error 0.147572 relative_absolute_error 0.16728 relative_absolute_error 0.125096 relative_absolute_error 0.182976 relative_absolute_error 0.147154 relative_absolute_error 0.165601 relative_absolute_error 0.205065 relative_absolute_error 0.205504 relative_absolute_error 0.179517 relative_absolute_error 0.186587 relative_absolute_error 0.183155 relative_absolute_error 0.190461 relative_absolute_error 0.166186 relative_absolute_error 0.143326 relative_absolute_error 0.203404 relative_absolute_error 0.190094 relative_absolute_error 0.156903 relative_absolute_error 0.213616 relative_absolute_error 0.175816 relative_absolute_error 0.188922 relative_absolute_error 0.160281 relative_absolute_error 0.162887 relative_absolute_error 0.166765 relative_absolute_error 0.207711 relative_absolute_error 0.20242 relative_absolute_error 0.197074 relative_absolute_error 0.190036 relative_absolute_error 0.15962 relative_absolute_error 0.171948 relative_absolute_error 0.154021 relative_absolute_error 0.142536 relative_absolute_error 0.162937 relative_absolute_error 0.15737 relative_absolute_error 0.153754 relative_absolute_error 0.147751 relative_absolute_error 0.134539 relative_absolute_error 0.170889 relative_absolute_error 0.138648 relative_absolute_error 0.16479 relative_absolute_error 0.183846 relative_absolute_error 0.179449 relative_absolute_error 0.209711 relative_absolute_error 0.165212 relative_absolute_error 0.201947 relative_absolute_error 0.2044 relative_absolute_error 0.155953 relative_absolute_error 0.164775 relative_absolute_error 0.179366 relative_absolute_error 0.184318 relative_absolute_error 0.182903 relative_absolute_error 0.205043 relative_absolute_error 0.149461 relative_absolute_error 0.185839 relative_absolute_error 0.138865 relative_absolute_error 0.198337 relative_absolute_error 0.158846 relative_absolute_error 0.189828 relative_absolute_error 0.184487 relative_absolute_error 0.18769 relative_absolute_error 0.148187 relative_absolute_error 0.178005 relative_absolute_error 0.16634 relative_absolute_error 0.183304 relative_absolute_error 0.15512 relative_absolute_error 0.134534 relative_absolute_error 0.195558 relative_absolute_error 0.160683 relative_absolute_error 0.175677 relative_absolute_error 0.147375 relative_absolute_error 0.123402 relative_absolute_error 0.174474 relative_absolute_error 0.173297 relative_absolute_error 0.177305 relative_absolute_error 0.166445 relative_absolute_error 0.137432 relative_absolute_error 0.151916 relative_absolute_error 0.142216 relative_absolute_error 0.161309 relative_absolute_error 0.164919 relative_absolute_error 0.170587 relative_absolute_error 0.1426 relative_absolute_error 0.199494 relative_absolute_error 0.211534 root_mean_prior_squared_error 0.188368 root_mean_prior_squared_error 0.188112 root_mean_prior_squared_error 0.188311 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188094 root_mean_prior_squared_error 0.188322 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188135 root_mean_prior_squared_error 0.188271 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188375 root_mean_prior_squared_error 0.188288 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188315 root_mean_prior_squared_error 0.188327 root_mean_prior_squared_error 0.18841 root_mean_prior_squared_error 0.188431 root_mean_prior_squared_error 0.18837 root_mean_prior_squared_error 0.188277 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188278 root_mean_prior_squared_error 0.188341 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188372 root_mean_prior_squared_error 0.188426 root_mean_prior_squared_error 0.188272 root_mean_prior_squared_error 0.18834 root_mean_prior_squared_error 0.188408 root_mean_prior_squared_error 0.188384 root_mean_prior_squared_error 0.188332 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188358 root_mean_prior_squared_error 0.188364 root_mean_prior_squared_error 0.188351 root_mean_prior_squared_error 0.18826 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188295 root_mean_prior_squared_error 0.188401 root_mean_prior_squared_error 0.188151 root_mean_prior_squared_error 0.188009 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.188282 root_mean_prior_squared_error 0.188357 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.18833 root_mean_prior_squared_error 0.188412 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.188378 root_mean_prior_squared_error 0.188342 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188175 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.188349 root_mean_prior_squared_error 0.188173 root_mean_prior_squared_error 0.188291 root_mean_prior_squared_error 0.188355 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.188356 root_mean_prior_squared_error 0.188333 root_mean_prior_squared_error 0.1884 root_mean_prior_squared_error 0.188393 root_mean_prior_squared_error 0.187924 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188296 root_mean_prior_squared_error 0.188221 root_mean_prior_squared_error 0.188263 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188143 root_mean_prior_squared_error 0.188267 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188184 root_mean_prior_squared_error 0.188231 root_mean_prior_squared_error 0.188209 root_mean_prior_squared_error 0.188359 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188191 root_mean_prior_squared_error 0.188223 root_mean_prior_squared_error 0.188168 root_mean_prior_squared_error 0.188276 root_mean_prior_squared_error 0.188202 root_mean_prior_squared_error 0.188192 root_mean_prior_squared_error 0.188307 root_mean_prior_squared_error 0.188237 root_mean_prior_squared_error 0.188166 root_mean_prior_squared_error 0.188241 root_mean_prior_squared_error 0.188201 root_mean_prior_squared_error 0.188281 root_mean_prior_squared_error 0.188232 root_mean_prior_squared_error 0.188264 root_mean_prior_squared_error 0.188202 root_mean_squared_error 0.094905 root_mean_squared_error 0.092622 root_mean_squared_error 0.099094 root_mean_squared_error 0.088731 root_mean_squared_error 0.089144 root_mean_squared_error 0.095948 root_mean_squared_error 0.081454 root_mean_squared_error 0.099082 root_mean_squared_error 0.098586 root_mean_squared_error 0.082587 root_mean_squared_error 0.08941 root_mean_squared_error 0.093702 root_mean_squared_error 0.098763 root_mean_squared_error 0.097382 root_mean_squared_error 0.099867 root_mean_squared_error 0.092499 root_mean_squared_error 0.107114 root_mean_squared_error 0.083595 root_mean_squared_error 0.089391 root_mean_squared_error 0.075085 root_mean_squared_error 0.096599 root_mean_squared_error 0.082104 root_mean_squared_error 0.089492 root_mean_squared_error 0.104558 root_mean_squared_error 0.104329 root_mean_squared_error 0.096594 root_mean_squared_error 0.098808 root_mean_squared_error 0.097391 root_mean_squared_error 0.10044 root_mean_squared_error 0.085681 root_mean_squared_error 0.085126 root_mean_squared_error 0.09673 root_mean_squared_error 0.099081 root_mean_squared_error 0.087544 root_mean_squared_error 0.10271 root_mean_squared_error 0.094555 root_mean_squared_error 0.094093 root_mean_squared_error 0.086058 root_mean_squared_error 0.088155 root_mean_squared_error 0.090421 root_mean_squared_error 0.103177 root_mean_squared_error 0.103017 root_mean_squared_error 0.1012 root_mean_squared_error 0.09954 root_mean_squared_error 0.089498 root_mean_squared_error 0.092611 root_mean_squared_error 0.082486 root_mean_squared_error 0.080056 root_mean_squared_error 0.09092 root_mean_squared_error 0.086209 root_mean_squared_error 0.087985 root_mean_squared_error 0.086035 root_mean_squared_error 0.076872 root_mean_squared_error 0.088976 root_mean_squared_error 0.082032 root_mean_squared_error 0.090734 root_mean_squared_error 0.094871 root_mean_squared_error 0.093883 root_mean_squared_error 0.105417 root_mean_squared_error 0.091832 root_mean_squared_error 0.099865 root_mean_squared_error 0.102513 root_mean_squared_error 0.085326 root_mean_squared_error 0.091279 root_mean_squared_error 0.095866 root_mean_squared_error 0.096967 root_mean_squared_error 0.096726 root_mean_squared_error 0.104651 root_mean_squared_error 0.084759 root_mean_squared_error 0.097381 root_mean_squared_error 0.077199 root_mean_squared_error 0.098986 root_mean_squared_error 0.088115 root_mean_squared_error 0.101061 root_mean_squared_error 0.095892 root_mean_squared_error 0.097677 root_mean_squared_error 0.088523 root_mean_squared_error 0.094384 root_mean_squared_error 0.087149 root_mean_squared_error 0.09159 root_mean_squared_error 0.085847 root_mean_squared_error 0.077866 root_mean_squared_error 0.099406 root_mean_squared_error 0.085849 root_mean_squared_error 0.092492 root_mean_squared_error 0.081234 root_mean_squared_error 0.074404 root_mean_squared_error 0.092312 root_mean_squared_error 0.094536 root_mean_squared_error 0.090262 root_mean_squared_error 0.087309 root_mean_squared_error 0.084297 root_mean_squared_error 0.08613 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